From 25f44280fd33b182c818ef29300e2088f490085e Mon Sep 17 00:00:00 2001 From: Paul Orlando Date: Sat, 19 Sep 2026 21:26:40 -0400 Subject: [PATCH 1/6] refactor: Production cleanup pass on backend - Fix: GET endpoints no longer write to database - Perf: Optimize queries, cache portfolio values, use threadpool for reads - Duplication: Extract metrics.py, consolidate trade models - Code quality: Split functions, remove dead code, improve error handling - All 87 tests pass, lint clean, live server verified Co-Authored-By: Claude Sonnet 5 --- backend/app/agents/__init__.py | 15 + backend/app/agents/analyzer.py | 90 ++ backend/app/agents/base.py | 95 ++ backend/app/agents/metrics.py | 37 + backend/app/agents/models.py | 205 ++++ backend/app/agents/orchestrator.py | 298 ++++++ backend/app/agents/portfolio.py | 255 +++++ backend/app/agents/risk.py | 205 ++++ backend/app/agents/watchlist.py | 149 +++ backend/app/db.py | 100 ++ backend/app/main.py | 251 +++++ backend/db/schema.sql | 140 +++ backend/pyproject.toml | 4 + backend/tests/api/__init__.py | 0 backend/tests/api/test_api.py | 144 +++ backend/uv.lock | 1571 ++++++++++++++++++++++++++++ planning/AGENT_ARCHITECTURE.md | 281 +++++ 17 files changed, 3840 insertions(+) create mode 100644 backend/app/agents/__init__.py create mode 100644 backend/app/agents/analyzer.py create mode 100644 backend/app/agents/base.py create mode 100644 backend/app/agents/metrics.py create mode 100644 backend/app/agents/models.py create mode 100644 backend/app/agents/orchestrator.py create mode 100644 backend/app/agents/portfolio.py create mode 100644 backend/app/agents/risk.py create mode 100644 backend/app/agents/watchlist.py create mode 100644 backend/app/db.py create mode 100644 backend/app/main.py create mode 100644 backend/db/schema.sql create mode 100644 backend/tests/api/__init__.py create mode 100644 backend/tests/api/test_api.py create mode 100644 planning/AGENT_ARCHITECTURE.md diff --git a/backend/app/agents/__init__.py b/backend/app/agents/__init__.py new file mode 100644 index 000000000..ea091e925 --- /dev/null +++ b/backend/app/agents/__init__.py @@ -0,0 +1,15 @@ +"""Multi-agent trading system. See planning/AGENT_ARCHITECTURE.md.""" + +from .analyzer import AnalyzerAgent +from .orchestrator import OrchestratorAgent +from .portfolio import PortfolioAgent +from .risk import RiskAgent +from .watchlist import WatchlistAgent + +__all__ = [ + "AnalyzerAgent", + "OrchestratorAgent", + "PortfolioAgent", + "RiskAgent", + "WatchlistAgent", +] diff --git a/backend/app/agents/analyzer.py b/backend/app/agents/analyzer.py new file mode 100644 index 000000000..624681c37 --- /dev/null +++ b/backend/app/agents/analyzer.py @@ -0,0 +1,90 @@ +"""Analyzer Agent: deterministic, read-only portfolio analysis used as LLM context.""" + +from __future__ import annotations + +from ..db import Database +from ..market import PriceCache +from .base import BaseAgent +from .metrics import cash_pct, concentration_flags, herfindahl, position_metrics +from .models import AnalysisReport, Mover, PortfolioSummary + +# Flag the portfolio as mostly idle above this cash share. +HIGH_CASH_PCT = 80.0 +# Ignore tiny ticks when picking watchlist movers. +MOVER_MIN_PCT = 0.05 + + +class AnalyzerAgent(BaseAgent): + agent_id = "analyzer" + + def __init__(self, db: Database, cache: PriceCache, concentration_flag_pct: float) -> None: + super().__init__(db) + self.cache = cache + # Same threshold the Risk agent warns at, so the two never disagree about "concentrated". + self.concentration_flag_pct = concentration_flag_pct + + def analyze(self, summary: PortfolioSummary, watchlist: list[str]) -> AnalysisReport: + with self.timed() as elapsed: + report = self._analyze(summary, watchlist) + self.log("analyze", "success", output=report, duration_ms=elapsed()) + return report + + def _analyze(self, summary: PortfolioSummary, watchlist: list[str]) -> AnalysisReport: + metrics = position_metrics(summary) + flags = concentration_flags(metrics, self.concentration_flag_pct) + for m in metrics: + upd = self.cache.get(m.ticker) + if upd is None: + flags.append(f"no live price for {m.ticker}; using last known price") + else: + # Day change here is the last-tick change from the price cache (no daily open). + m.day_change_pct = upd.change_percent + + cash = cash_pct(summary) + if cash > HIGH_CASH_PCT: + flags.append(f"{cash:.0f}% of the portfolio is idle cash") + + # max/min with default=None so an empty portfolio (all cash) is handled gracefully. + return AnalysisReport( + total_value=summary.total_value, + cash_pct=cash, + positions=sorted(metrics, key=lambda m: -m.weight_pct), # largest first + top_concentration=max(metrics, key=lambda m: m.weight_pct, default=None), + herfindahl_index=herfindahl(metrics), + best_performer=max(metrics, key=lambda m: m.unrealized_pnl, default=None), + worst_performer=min(metrics, key=lambda m: m.unrealized_pnl, default=None), + watchlist_movers=self.movers(watchlist, {p.ticker for p in summary.positions}), + flags=flags, + ) + + def movers(self, watchlist: list[str], held: set[str], limit: int = 3) -> list[Mover]: + """Largest absolute % moves among watched tickers that are not held.""" + out = [] + for t in watchlist: + if t in held: # held tickers are covered by the positions section + continue + upd = self.cache.get(t) + if upd and abs(upd.change_percent) >= MOVER_MIN_PCT: + out.append(Mover(ticker=t, price=upd.price, change_percent=upd.change_percent)) + return sorted(out, key=lambda m: -abs(m.change_percent))[:limit] + + @staticmethod + def to_prompt_context(report: AnalysisReport) -> str: + lines = [ + f"Cash: {report.cash_pct:.1f}% of portfolio; concentration index (HHI): " + f"{report.herfindahl_index:.2f}" + ] + if report.best_performer: + b = report.best_performer + lines.append(f"Best: {b.ticker} ({b.pnl_pct:+.1f}%, ${b.unrealized_pnl:+,.2f})") + if report.worst_performer and report.worst_performer is not report.best_performer: + w = report.worst_performer + lines.append(f"Worst: {w.ticker} ({w.pnl_pct:+.1f}%, ${w.unrealized_pnl:+,.2f})") + if report.watchlist_movers: + lines.append( + "Unheld movers: " + + ", ".join(f"{m.ticker} {m.change_percent:+.2f}%" for m in report.watchlist_movers) + ) + if report.flags: + lines.append("Flags: " + "; ".join(report.flags)) + return "\n".join(lines) diff --git a/backend/app/agents/base.py b/backend/app/agents/base.py new file mode 100644 index 000000000..171947c54 --- /dev/null +++ b/backend/app/agents/base.py @@ -0,0 +1,95 @@ +"""BaseAgent: identity, DB handle and audit logging shared by all agents.""" + +from __future__ import annotations + +import json +import logging +import time +import uuid +from contextlib import contextmanager +from contextvars import ContextVar +from datetime import UTC, datetime +from typing import Any + +from pydantic import BaseModel + +from ..db import Database + +logger = logging.getLogger(__name__) + +# One correlation id per API request; every agent call in it is logged under the same id. +# ContextVar (not a global) so concurrent requests each keep their own id. +correlation_id: ContextVar[str] = ContextVar("correlation_id", default="") + +# Tolerance for float comparisons on share quantities and cash (avoids 0.30000000000000004 issues). +# Shared by Risk (approve) and Portfolio (re-check) so the two can never disagree. +EPS = 1e-9 + +# Single-user app: every row uses this id. Kept in one place so multi-user is a small change later. +USER_ID = "default" + + +def new_id() -> str: + return str(uuid.uuid4()) + + +# ISO-8601 UTC with millisecond precision; matches the format used by schema.sql defaults. +def now_iso() -> str: + return datetime.now(UTC).strftime("%Y-%m-%dT%H:%M:%S.%f")[:-3] + "Z" + + +# Convert pydantic models (possibly nested in lists/dicts) into plain JSON-serializable data. +def _jsonable(value: Any) -> Any: + if isinstance(value, BaseModel): + return value.model_dump() + if isinstance(value, list): + return [_jsonable(v) for v in value] + if isinstance(value, dict): + return {k: _jsonable(v) for k, v in value.items()} + return value + + +class BaseAgent: + # Stable identifier written to agent_logs.agent_id (and trades.agent_id for the Portfolio agent). + agent_id: str = "base" + + def __init__(self, db: Database) -> None: + self.db = db + + def log( + self, + action: str, + status: str, + input: Any = None, + output: Any = None, + error: str | None = None, + duration_ms: int | None = None, + ) -> None: + """Write one agent_logs row. Auditing must never break a request, so failures are swallowed.""" + try: + self.db.execute( + "INSERT INTO agent_logs (id, user_id, correlation_id, agent_id, action, status," + " input, output, error, duration_ms, created_at) VALUES (?,?,?,?,?,?,?,?,?,?,?)", + ( + new_id(), + USER_ID, + correlation_id.get() or new_id(), + self.agent_id, + action, + status, + json.dumps(_jsonable(input), default=str) if input is not None else None, + json.dumps(_jsonable(output), default=str) if output is not None else None, + error, + duration_ms, + now_iso(), + ), + ) + except Exception: # noqa: BLE001 + # A logging failure must never fail the trade or chat request, but it must not be silent. + logger.warning("agent_logs write failed for %s.%s", self.agent_id, action, exc_info=True) + + @contextmanager + def timed(self): + """Yields a callable returning elapsed milliseconds.""" + start = time.perf_counter() + yield lambda: int((time.perf_counter() - start) * 1000) diff --git a/backend/app/agents/metrics.py b/backend/app/agents/metrics.py new file mode 100644 index 000000000..234ff6266 --- /dev/null +++ b/backend/app/agents/metrics.py @@ -0,0 +1,37 @@ +"""Concentration maths shared by the Analyzer and Risk agents (one definition, one threshold).""" + +from __future__ import annotations + +from .models import PortfolioSummary, PositionMetric + + +def position_metrics(summary: PortfolioSummary) -> list[PositionMetric]: + """One metric per position, weights as % of total portfolio value.""" + total = summary.total_value + return [ + PositionMetric( + ticker=p.ticker, + weight_pct=(p.market_value / total * 100) if total else 0.0, + unrealized_pnl=p.unrealized_pnl, + pnl_pct=p.pnl_percent, + ) + for p in summary.positions + ] + + +def herfindahl(metrics: list[PositionMetric]) -> float: + """Sum of squared weights: 1.0 = a single position, ~0 = well diversified.""" + return sum((m.weight_pct / 100) ** 2 for m in metrics) + + +def cash_pct(summary: PortfolioSummary) -> float: + """Cash as % of total value; an empty (zero-value) portfolio counts as all cash.""" + return summary.cash_balance / summary.total_value * 100 if summary.total_value else 100.0 + + +def concentration_flags(metrics: list[PositionMetric], threshold_pct: float) -> list[str]: + return [ + f"{m.ticker} is {m.weight_pct:.0f}% of the portfolio" + for m in metrics + if m.weight_pct > threshold_pct + ] diff --git a/backend/app/agents/models.py b/backend/app/agents/models.py new file mode 100644 index 000000000..f30c38129 --- /dev/null +++ b/backend/app/agents/models.py @@ -0,0 +1,205 @@ +"""Shared Pydantic types used by the agents and the API layer.""" + +from __future__ import annotations + +import re +from typing import Literal + +from pydantic import BaseModel, Field, field_validator + +Side = Literal["buy", "sell"] +Source = Literal["manual", "chat", "system"] + +# 1-5 letters with an optional class suffix, e.g. AAPL, V, BRK.B. Applied after normalize_ticker(). +TICKER_RE = re.compile(r"^[A-Z]{1,5}(\.[A-Z])?$") + + +def normalize_ticker(value: str) -> str: + return value.strip().upper() + + +# --------------------------------------------------------------------------- requests +# Inbound API payloads. Tickers are normalized (trimmed, upper-cased) at parse time so every +# downstream agent can compare them directly. + + +class TradeOrder(BaseModel): + """A trade as asked for by a client or the LLM. Carries no provenance (see TradeRequest).""" + + ticker: str + side: Side + quantity: float + + @field_validator("ticker") + @classmethod + def _norm(cls, v: str) -> str: + return normalize_ticker(v) + + +class TradeRequest(TradeOrder): + """A TradeOrder plus who asked for it. Set server-side, never taken from a client payload.""" + + source: Source = "manual" + + +class WatchlistChange(BaseModel): + """Add/remove request; used for the API body, the LLM output and internal calls.""" + + ticker: str + action: Literal["add", "remove"] + + @field_validator("ticker") + @classmethod + def _norm(cls, v: str) -> str: + return normalize_ticker(v) + + +class ChatRequest(BaseModel): + # Length-bounded to keep prompts (and cost) predictable. + message: str = Field(min_length=1, max_length=4000) + + +# --------------------------------------------------------------------------- agent results +# What agents hand to each other and to the API layer. + + +class RiskVerdict(BaseModel): + # reasons are hard failures (approved=False); warnings are advisory and never block a trade. + approved: bool + reasons: list[str] = [] + warnings: list[str] = [] + + +class TradeResult(BaseModel): + # A failed trade is still a TradeResult (ok=False, error set) so chat can report it inline. + ok: bool + trade_id: str | None = None + ticker: str + side: Side + quantity: float + price: float | None = None + realized_pnl: float | None = None + error: str | None = None + warnings: list[str] = [] + + +class WatchlistResult(BaseModel): + ok: bool + ticker: str + action: str + error: str | None = None + note: str | None = None + + +class PositionView(BaseModel): + # A position valued at the latest market price. + ticker: str + quantity: float + avg_cost: float + current_price: float | None + market_value: float + unrealized_pnl: float + pnl_percent: float + + +class PortfolioSummary(BaseModel): + # total_value = cash + positions_value; total_pnl = total_value - starting_cash. + cash_balance: float + positions: list[PositionView] + positions_value: float + total_value: float + starting_cash: float + unrealized_pnl: float + realized_pnl: float + total_pnl: float + + +class Snapshot(BaseModel): + total_value: float + cash_balance: float + positions_value: float + total_pnl: float + recorded_at: str + + +class WatchlistEntry(BaseModel): + ticker: str + added_by: str + added_at: str + price: float | None = None + previous_price: float | None = None + change_percent: float | None = None + direction: str | None = None + + +# --------------------------------------------------------------------------- analysis +# Output of the Analyzer and Risk agents. + + +class PositionMetric(BaseModel): + ticker: str + weight_pct: float + unrealized_pnl: float + pnl_pct: float + day_change_pct: float | None = None + + +class Mover(BaseModel): + ticker: str + price: float + change_percent: float + + +class AnalysisReport(BaseModel): + total_value: float + cash_pct: float + positions: list[PositionMetric] + top_concentration: PositionMetric | None + herfindahl_index: float + best_performer: PositionMetric | None + worst_performer: PositionMetric | None + watchlist_movers: list[Mover] + flags: list[str] + + +class RiskLimits(BaseModel): + # Percentages are of total portfolio value. Defaults are permissive so the $10k demo is not + # blocked; override with RISK_ env vars (see risk.limits_from_env). + min_quantity: float = 0.0001 + max_order_pct: float = 100.0 + max_position_pct: float = 50.0 + warn_position_pct: float = 25.0 + min_cash_pct_warn: float = 5.0 + + +class RiskAssessment(BaseModel): + """Portfolio-level risk view for GET /api/risk-assessment.""" + + limits: RiskLimits + total_value: float + cash_pct: float + largest_position: PositionMetric | None + herfindahl_index: float + positions_over_warn: list[str] + positions_over_limit: list[str] + level: Literal["low", "moderate", "high"] + flags: list[str] + + +# --------------------------------------------------------------------------- LLM I/O +# Schema requested from the model via structured outputs, plus what /api/chat returns. + + +class LLMOutput(BaseModel): + """Structured output requested from the LLM (PLAN.md §9).""" + + message: str + trades: list[TradeOrder] = [] + watchlist_changes: list[WatchlistChange] = [] + + +class ChatResponse(BaseModel): + message: str + executed_trades: list[TradeResult] = [] + watchlist_changes: list[WatchlistResult] = [] + warnings: list[str] = [] diff --git a/backend/app/agents/orchestrator.py b/backend/app/agents/orchestrator.py new file mode 100644 index 000000000..5551b24de --- /dev/null +++ b/backend/app/agents/orchestrator.py @@ -0,0 +1,298 @@ +"""Chat Orchestrator Agent: one LLM call per turn, routing its output to the other agents.""" + +from __future__ import annotations + +import asyncio +import json +import logging +import os +import re + +from pydantic import ValidationError + +from ..db import Database +from .analyzer import AnalyzerAgent +from .base import USER_ID, BaseAgent, correlation_id, new_id, now_iso +from .models import ( + ChatResponse, + LLMOutput, + PortfolioSummary, + TradeRequest, + TradeResult, + WatchlistEntry, + WatchlistResult, +) +from .portfolio import PortfolioAgent +from .risk import RiskAgent +from .watchlist import WatchlistAgent + +logger = logging.getLogger(__name__) + +# Model + provider routing per the cerebras skill: gpt-oss-120b via OpenRouter, served by Cerebras. +MODEL = "openrouter/openai/gpt-oss-120b" +EXTRA_BODY = {"provider": {"order": ["cerebras"]}} + +# How many past user/assistant exchanges are replayed into the prompt. +HISTORY_EXCHANGES = 10 +# Guardrails against a runaway model: extras are dropped and reported to the user. +MAX_TRADES_PER_TURN = 10 +MAX_WATCHLIST_CHANGES_PER_TURN = 10 + +SYSTEM_PROMPT = """You are FinAlly, an AI trading assistant inside a simulated trading workstation \ +(virtual money, market orders only, instant fills at the current price, no fees). + +You can: +- Analyze the user's portfolio: composition, concentration risk, cash, and P&L. +- Suggest trades with brief reasoning. +- Execute trades: include them in "trades" when the user asks for a trade or agrees to your suggestion. \ +Do not put trades in the list when merely discussing or suggesting. +- Manage the watchlist: use "watchlist_changes" (action "add" or "remove"). Add tickers proactively \ +when the user shows interest in them. + +Rules: +- Be concise and data-driven; use the numbers in the context below, do not invent prices. +- Trades are validated by a risk system (sufficient cash for buys, sufficient shares for sells, \ +position limits). Failed trades are reported back to the user automatically, so do not claim a trade \ +succeeded with certainty; say you are placing it. +- Quantities may be fractional. Tickers are upper-case symbols. +- Always respond with valid JSON matching the required schema: \ +{"message": str, "trades": [{"ticker", "side": "buy"|"sell", "quantity"}], \ +"watchlist_changes": [{"ticker", "action": "add"|"remove"}]}. Use empty lists when there is nothing to do.""" + + +class LLMError(Exception): + """The LLM could not produce a usable response (missing key, provider error, bad output).""" + + +class OrchestratorAgent(BaseAgent): + agent_id = "orchestrator" + + def __init__( + self, + db: Database, + portfolio: PortfolioAgent, + analyzer: AnalyzerAgent, + risk: RiskAgent, + watchlist: WatchlistAgent, + ) -> None: + super().__init__(db) + self.portfolio = portfolio + self.analyzer = analyzer + self.risk = risk + self.watchlist = watchlist + + # ------------------------------------------------------------------ pipeline + + async def handle_message(self, text: str) -> ChatResponse: + with self.timed() as elapsed: + # Step 1: gather context from the other agents (all read-only). + summary = self.portfolio.get_summary() + entries = self.watchlist.list_with_prices() + report = self.analyzer.analyze(summary, [e.ticker for e in entries]) + history = self._load_history() + messages = self.build_prompt( + text, summary, self.analyzer.to_prompt_context(report), entries, history + ) + + # Step 2: the single LLM call for this turn. + try: + llm = await self.call_llm(messages, text) + except LLMError as e: + # Fail safe: nothing is executed, and the failed turn is still stored in history. + response = ChatResponse( + message=f"Sorry, I couldn't get a response from the AI model ({e}). " + "No trades or watchlist changes were made." + ) + self.log("handle_message", "error", input=text, error=str(e), duration_ms=elapsed()) + self.persist(text, response) + return response + + # Step 3: route the requested actions to Risk -> Portfolio and to Watchlist. + trade_results = await self.route_trades(llm) + wl_results = await self.route_watchlist(llm) + + # Step 4: the model text may assume success, so append any failures explicitly. + message = llm.message + notes = [ + f"⚠ Could not {r.side} {r.quantity:g} {r.ticker}: {r.error}" + for r in trade_results + if not r.ok + ] + [f"⚠ Watchlist: could not {r.action} {r.ticker}: {r.error}" for r in wl_results if not r.ok] + dropped = ( + max(0, len(llm.trades) - MAX_TRADES_PER_TURN) + + max(0, len(llm.watchlist_changes) - MAX_WATCHLIST_CHANGES_PER_TURN) + ) + if dropped: + notes.append(f"⚠ {dropped} requested action(s) were skipped (per-message limit).") + if notes: + message = message.rstrip() + "\n\n" + "\n".join(notes) + + response = ChatResponse( + message=message, + executed_trades=trade_results, + watchlist_changes=wl_results, + warnings=[w for r in trade_results for w in r.warnings], + ) + # Step 5: store the exchange (history + executed actions) and audit it. + self.persist(text, response) + self.log( + "handle_message", + "success", + input=text, + output={ + "trades": len(trade_results), + "watchlist_changes": len(wl_results), + }, + duration_ms=elapsed(), + ) + return response + + # ------------------------------------------------------------------ prompt / LLM + + def _load_history(self) -> list[dict]: + # Newest N exchanges, then reversed below into chronological order for the prompt. + rows = self.db.query( + "SELECT user_message, ai_response FROM chat_messages WHERE user_id=?" + " ORDER BY created_at DESC, rowid DESC LIMIT ?", + (USER_ID, HISTORY_EXCHANGES), + ) + history: list[dict] = [] + for r in reversed(rows): + history.append({"role": "user", "content": r["user_message"]}) + history.append({"role": "assistant", "content": r["ai_response"]}) + return history + + def build_prompt( + self, + text: str, + summary: PortfolioSummary, + analysis: str, + watchlist: list[WatchlistEntry], + history: list[dict], + ) -> list[dict]: + positions = ( + "\n".join( + f" {p.ticker}: {p.quantity:g} sh, avg ${p.avg_cost:,.2f}, now " + f"${p.current_price or 0:,.2f}, P&L ${p.unrealized_pnl:+,.2f} ({p.pnl_percent:+.1f}%)" + for p in summary.positions + ) + or " (none)" + ) + wl = ", ".join( + f"{e.ticker} ${e.price:,.2f}" if e.price is not None else e.ticker for e in watchlist + ) + context = ( + "CURRENT PORTFOLIO CONTEXT\n" + f"Cash: ${summary.cash_balance:,.2f}\n" + f"Total value: ${summary.total_value:,.2f} (P&L ${summary.total_pnl:+,.2f})\n" + f"Positions:\n{positions}\n" + f"Watchlist: {wl or '(empty)'}\n" + f"Analysis:\n{analysis}" + ) + # Two system messages: static behavior rules, then the live per-turn context. + return [ + {"role": "system", "content": SYSTEM_PROMPT}, + {"role": "system", "content": context}, + *history, + {"role": "user", "content": text}, + ] + + async def call_llm(self, messages: list[dict], user_text: str = "") -> LLMOutput: + """One structured-output call; a malformed response is retried once.""" + # LLM_MOCK=true short-circuits the network call (tests, demos, CI). + if os.environ.get("LLM_MOCK", "").strip().lower() == "true": + return mock_llm(user_text) + if not os.environ.get("OPENROUTER_API_KEY"): + raise LLMError("OPENROUTER_API_KEY is not set") + + from litellm import acompletion # imported lazily: heavy import, unused in mock mode + + last_error = "unknown error" + for attempt in (1, 2): + with self.timed() as elapsed: + try: + resp = await acompletion( + model=MODEL, + messages=messages, + response_format=LLMOutput, + reasoning_effort="low", + extra_body=EXTRA_BODY, + ) + content = resp.choices[0].message.content + # Structured output: parse and validate the JSON against the LLMOutput schema. + out = LLMOutput.model_validate_json(content) + except (ValidationError, ValueError, TypeError) as e: + # Bad JSON / schema mismatch: worth one retry. + last_error = f"malformed model output: {e.__class__.__name__}" + self.log("llm_call", "error", error=f"attempt {attempt}: {e}", duration_ms=elapsed()) + continue + except Exception as e: # noqa: BLE001 - network/auth/provider errors + # Not retried: auth/network problems will not fix themselves within a request. + self.log("llm_call", "error", error=f"attempt {attempt}: {e}", duration_ms=elapsed()) + raise LLMError(e.__class__.__name__) from e + self.log( + "llm_call", + "success", + output={"trades": len(out.trades), "watchlist_changes": len(out.watchlist_changes)}, + duration_ms=elapsed(), + ) + return out + raise LLMError(last_error) + + # ------------------------------------------------------------------ routing + + async def route_trades(self, llm: LLMOutput) -> list[TradeResult]: + """Risk-validate all trades in order against a simulated portfolio, then execute approved ones.""" + # source="chat" is stamped here; the LLM schema (TradeOrder) has no provenance field. + reqs = [ + TradeRequest(**t.model_dump(), source="chat") for t in llm.trades[:MAX_TRADES_PER_TURN] + ] + # Trades on tickers outside the watchlist still need a price to validate and fill. + await asyncio.gather(*(self.watchlist.ensure_priced(t) for t in {r.ticker for r in reqs})) + verdicts = self.risk.validate_batch(reqs, self.portfolio.get_summary()) + # Rejected verdicts flow through execute_trade too, which turns them into ok=False results. + return [self.portfolio.execute_trade(r, v) for r, v in zip(reqs, verdicts, strict=True)] + + async def route_watchlist(self, llm: LLMOutput) -> list[WatchlistResult]: + # added_by='ai' records provenance in the watchlist table. + changes = llm.watchlist_changes[:MAX_WATCHLIST_CHANGES_PER_TURN] + return await self.watchlist.apply_changes(changes, added_by="ai") + + def persist(self, user_message: str, response: ChatResponse) -> None: + self.db.execute( + "INSERT INTO chat_messages (id, user_id, user_message, ai_response, executed_trades," + " watchlist_changes, correlation_id, created_at) VALUES (?,?,?,?,?,?,?,?)", + ( + new_id(), + USER_ID, + user_message, + response.message, + json.dumps([t.model_dump() for t in response.executed_trades]), + json.dumps([w.model_dump() for w in response.watchlist_changes]), + correlation_id.get() or None, + now_iso(), + ), + ) + + +# ---------------------------------------------------------------------- mock LLM + +# Patterns for the mock LLM: 'buy 5 AAPL', 'sell 2.5 shares of TSLA', 'add PYPL to my watchlist'. +_TRADE_RE = re.compile(r"\b(buy|sell)\s+(\d+(?:\.\d+)?)\s+(?:shares?\s+of\s+)?([A-Za-z]{1,5})\b", re.I) +_WATCH_RE = re.compile(r"\b(add|remove)\s+([A-Za-z]{1,5})\b(?:\s+(?:to|from)\s+(?:my\s+)?watchlist)?", re.I) + + +def mock_llm(text: str) -> LLMOutput: + """Deterministic stand-in for the LLM (LLM_MOCK=true): parses 'buy 5 AAPL' / 'add PYPL'.""" + trades, changes = [], [] + # Watchlist verbs are only honoured when 'watchlist' is mentioned, so a bare 'add' is ignored. + for side, qty, ticker in _TRADE_RE.findall(text): + trades.append({"ticker": ticker, "side": side.lower(), "quantity": float(qty)}) + if "watchlist" in text.lower(): + for action, ticker in _WATCH_RE.findall(text): + changes.append({"ticker": ticker, "action": action.lower()}) + if trades or changes: + message = "Mock mode: executing your request." + else: + message = "Mock mode: your portfolio looks fine. Ask me to buy, sell or manage the watchlist." + return LLMOutput(message=message, trades=trades, watchlist_changes=changes) diff --git a/backend/app/agents/portfolio.py b/backend/app/agents/portfolio.py new file mode 100644 index 000000000..de5eb796d --- /dev/null +++ b/backend/app/agents/portfolio.py @@ -0,0 +1,255 @@ +"""Portfolio Agent: the only writer of cash, positions and trades.""" + +from __future__ import annotations + +from ..db import Database +from ..market import PriceCache +from .base import EPS, USER_ID, BaseAgent, correlation_id, new_id, now_iso +from .models import ( + PortfolioSummary, + PositionView, + RiskVerdict, + Snapshot, + TradeRequest, + TradeResult, +) + + +class TradeError(Exception): + """A trade that cannot be filled mechanically (raised inside the transaction -> rollback).""" + + +class PortfolioAgent(BaseAgent): + agent_id = "portfolio" + + def __init__(self, db: Database, cache: PriceCache) -> None: + super().__init__(db) + self.cache = cache + + # ------------------------------------------------------------------ trading + + def execute_trade(self, req: TradeRequest, verdict: RiskVerdict) -> TradeResult: + """Fill a market order at the cached price. Atomic: any failure rolls everything back.""" + with self.timed() as elapsed: + result = self._execute(req, verdict) + self.log( + "execute_trade", + "success" if result.ok else "rejected", + input=req, + output=result, + error=result.error, + duration_ms=elapsed(), + ) + return result + + def _execute(self, req: TradeRequest, verdict: RiskVerdict) -> TradeResult: + def fail(msg: str) -> TradeResult: + return TradeResult( + ok=False, ticker=req.ticker, side=req.side, quantity=req.quantity, error=msg + ) + + # Defense in depth: this agent never decides what is *allowed*, but it refuses to act + # without an approved Risk verdict. + if not verdict.approved: + return fail("; ".join(verdict.reasons) or "trade not approved by risk agent") + + # Market order: fill instantly at the latest cached price. + price = self.cache.get_price(req.ticker) + if price is None or price <= 0: + return fail(f"no price available for {req.ticker}") + + try: + # One atomic unit: cash, position, trade log, aggregates and the P&L-chart snapshot + # all commit together or not at all. + with self.db.transaction(): + # Re-read inside the transaction (Risk validated earlier; state may have moved). + cash = self.db.query_one( + "SELECT cash_balance FROM portfolio_state WHERE user_id=?", (USER_ID,) + )["cash_balance"] + pos = self.db.query_one( + "SELECT id, quantity, avg_cost FROM positions WHERE user_id=? AND ticker=?", + (USER_ID, req.ticker), + ) + ts = now_iso() + apply = self._apply_buy if req.side == "buy" else self._apply_sell + new_cash, realized = apply(pos, req, price, cash, ts) + + self.db.execute( + "UPDATE portfolio_state SET cash_balance=? WHERE user_id=?", + (new_cash, USER_ID), + ) + trade_id = new_id() + self.db.execute( + "INSERT INTO trades (id, user_id, ticker, side, quantity, price, realized_pnl," + " timestamp, agent_id, source, correlation_id) VALUES (?,?,?,?,?,?,?,?,?,?,?)", + ( + trade_id, + USER_ID, + req.ticker, + req.side, + req.quantity, + price, + realized, + ts, + self.agent_id, + req.source, + correlation_id.get() or None, + ), + ) + # Value the book once, persist it, and record the chart point from that same value. + self.record_snapshot(self.get_summary()) + except TradeError as e: + # The transaction context manager already rolled back; report it as a failed trade. + return fail(str(e)) + + return TradeResult( + ok=True, + trade_id=trade_id, + ticker=req.ticker, + side=req.side, + quantity=req.quantity, + price=price, + realized_pnl=realized, + warnings=verdict.warnings, + ) + + def _apply_buy( + self, pos: dict | None, req: TradeRequest, price: float, cash: float, ts: str + ) -> tuple[float, float | None]: + """Upsert the position for a buy. Returns (new_cash, realized_pnl=None).""" + cost = req.quantity * price + if cost > cash + EPS: + raise TradeError(f"insufficient cash: need ${cost:,.2f}, have ${cash:,.2f}") + if pos: + # Weighted-average cost across the old and new lots. + new_qty = pos["quantity"] + req.quantity + new_avg = (pos["quantity"] * pos["avg_cost"] + cost) / new_qty + self.db.execute( + "UPDATE positions SET quantity=?, avg_cost=?, current_price=?, updated_at=?" + " WHERE id=?", + (new_qty, new_avg, price, ts, pos["id"]), + ) + else: + self.db.execute( + "INSERT INTO positions (id, user_id, ticker, quantity, avg_cost, current_price," + " updated_at) VALUES (?,?,?,?,?,?,?)", + (new_id(), USER_ID, req.ticker, req.quantity, price, price, ts), + ) + # Clamp at 0 so float dust cannot violate the cash_balance >= 0 CHECK constraint. + return max(0.0, cash - cost), None + + def _apply_sell( + self, pos: dict | None, req: TradeRequest, price: float, cash: float, ts: str + ) -> tuple[float, float]: + """Reduce or close the position for a sell. Returns (new_cash, realized_pnl).""" + if not pos or req.quantity > pos["quantity"] + EPS: + held = pos["quantity"] if pos else 0 + raise TradeError( + f"insufficient shares: trying to sell {req.quantity:g} {req.ticker}, hold {held:g}" + ) + # Guard against selling a hair more than held because of float tolerance. + qty = min(req.quantity, pos["quantity"]) + remaining = pos["quantity"] - qty + if remaining < EPS: + # A fully closed position is deleted (positions.quantity must be > 0). + self.db.execute("DELETE FROM positions WHERE id=?", (pos["id"],)) + else: + self.db.execute( + "UPDATE positions SET quantity=?, current_price=?, updated_at=? WHERE id=?", + (remaining, price, ts, pos["id"]), + ) + # Realized P&L = (sale price - average cost) * shares sold; avg cost is unchanged. + return cash + qty * price, (price - pos["avg_cost"]) * qty + + # ------------------------------------------------------------------ valuation + + def get_summary(self) -> PortfolioSummary: + """Value the portfolio at current prices. Read-only: no transaction, no writes.""" + state = self.db.query_one("SELECT * FROM portfolio_state WHERE user_id=?", (USER_ID,)) + rows = self.db.query("SELECT * FROM positions WHERE user_id=? ORDER BY ticker", (USER_ID,)) + views: list[PositionView] = [] + for r in rows: + # Price fallback: live cache -> last stored price -> cost basis, so a ticker that lost + # its live feed does not make the portfolio value collapse to zero. + price = self.cache.get_price(r["ticker"]) or r["current_price"] or r["avg_cost"] + value = r["quantity"] * price + basis = r["quantity"] * r["avg_cost"] + views.append( + PositionView( + ticker=r["ticker"], + quantity=r["quantity"], + avg_cost=r["avg_cost"], + current_price=price, + market_value=value, + unrealized_pnl=value - basis, + pnl_percent=((value - basis) / basis * 100) if basis else 0.0, + ) + ) + positions_value = sum(v.market_value for v in views) + total = state["cash_balance"] + positions_value + # Realized P&L is derived from the append-only trade log rather than stored incrementally. + realized = self.db.query_one( + "SELECT COALESCE(SUM(realized_pnl), 0) AS r FROM trades WHERE user_id=?", (USER_ID,) + )["r"] + return PortfolioSummary( + cash_balance=state["cash_balance"], + positions=views, + positions_value=positions_value, + total_value=total, + starting_cash=state["starting_cash"], + unrealized_pnl=sum(v.unrealized_pnl for v in views), + realized_pnl=realized, + total_pnl=total - state["starting_cash"], + ) + + # ------------------------------------------------------------------ persistence / snapshots + + def record_snapshot(self, summary: PortfolioSummary | None = None) -> Snapshot: + """Persist the cached aggregates and add a P&L-chart point (30 s loop and after each trade). + + Pass an already-computed summary to avoid valuing the book twice. + """ + s = summary or self.get_summary() + ts = now_iso() + with self.db.transaction(): + # Cached aggregates (positions.current_price is also the fallback price above). + for p in s.positions: + self.db.execute( + "UPDATE positions SET current_price=? WHERE user_id=? AND ticker=?", + (p.current_price, USER_ID, p.ticker), + ) + self.db.execute( + "UPDATE portfolio_state SET total_value=?, unrealized_pnl=?, realized_pnl=?," + " total_pnl=?, updated_at=? WHERE user_id=?", + (s.total_value, s.unrealized_pnl, s.realized_pnl, s.total_pnl, ts, USER_ID), + ) + self.db.execute( + "INSERT INTO portfolio_snapshots (id, user_id, total_value, cash_balance," + " positions_value, total_pnl, recorded_at) VALUES (?,?,?,?,?,?,?)", + ( + new_id(), + USER_ID, + s.total_value, + s.cash_balance, + s.positions_value, + s.total_pnl, + ts, + ), + ) + return Snapshot( + total_value=s.total_value, + cash_balance=s.cash_balance, + positions_value=s.positions_value, + total_pnl=s.total_pnl, + recorded_at=ts, + ) + + # Returns the newest `limit` snapshots in chronological order (what a line chart expects). + def get_history(self, limit: int = 1000) -> list[Snapshot]: + rows = self.db.query( + "SELECT total_value, cash_balance, positions_value, total_pnl, recorded_at FROM (" + " SELECT * FROM portfolio_snapshots WHERE user_id=? ORDER BY recorded_at DESC LIMIT ?" + ") ORDER BY recorded_at ASC", + (USER_ID, limit), + ) + return [Snapshot(**r) for r in rows] diff --git a/backend/app/agents/risk.py b/backend/app/agents/risk.py new file mode 100644 index 000000000..7ee042324 --- /dev/null +++ b/backend/app/agents/risk.py @@ -0,0 +1,205 @@ +"""Risk Agent: validates trades against the portfolio and configured limits. Read-only.""" + +from __future__ import annotations + +import math +import os + +from ..db import Database +from ..market import PriceCache +from .base import EPS, BaseAgent +from .metrics import cash_pct, concentration_flags, herfindahl, position_metrics +from .models import ( + TICKER_RE, + PortfolioSummary, + RiskAssessment, + RiskLimits, + RiskVerdict, + TradeRequest, +) + + +def limits_from_env() -> RiskLimits: + """Defaults are permissive; override any field with a RISK_ env var (e.g. + RISK_MAX_POSITION_PCT=40). Malformed overrides are ignored.""" + overrides = {} + for field in RiskLimits.model_fields: + raw = os.environ.get(f"RISK_{field.upper()}") + try: + if raw: + overrides[field] = float(raw) + except ValueError: + pass + return RiskLimits(**overrides) + + +class _SimState: + """Mutable copy of the portfolio used to validate a batch of trades in order.""" + + def __init__(self, summary: PortfolioSummary) -> None: + self.cash = summary.cash_balance + # Trades at market price swap cash for shares 1:1, so total value stays constant + # throughout a batch; only the split between cash and holdings changes. + self.total_value = summary.total_value + self.holdings = {p.ticker: p.quantity for p in summary.positions} + self.values = {p.ticker: p.market_value for p in summary.positions} + self.avg_costs = {p.ticker: p.avg_cost for p in summary.positions} + + def apply(self, req: TradeRequest, price: float) -> None: + amount = req.quantity * price + sign = 1 if req.side == "buy" else -1 + self.cash -= sign * amount + self.holdings[req.ticker] = self.holdings.get(req.ticker, 0.0) + sign * req.quantity + self.values[req.ticker] = self.values.get(req.ticker, 0.0) + sign * amount + + def weight_pct(self, ticker: str, extra_value: float = 0.0) -> float: + """Weight of a ticker in total value, optionally as if `extra_value` were added to it.""" + if not self.total_value: + return 0.0 + return (self.values.get(ticker, 0.0) + extra_value) / self.total_value * 100 + + +class RiskAgent(BaseAgent): + agent_id = "risk" + + def __init__(self, db: Database, cache: PriceCache, limits: RiskLimits | None = None) -> None: + super().__init__(db) + self.cache = cache + self.limits = limits or limits_from_env() + + # ------------------------------------------------------------------ trade validation + + def validate_trade(self, req: TradeRequest, summary: PortfolioSummary) -> RiskVerdict: + # A single trade is just a batch of one. + return self.validate_batch([req], summary)[0] + + def validate_batch( + self, reqs: list[TradeRequest], summary: PortfolioSummary + ) -> list[RiskVerdict]: + """Validate in order against a simulated running portfolio (approved trades are applied).""" + state = _SimState(summary) + verdicts = [] + for req in reqs: + verdict = self._check(req, state) + # Only approved trades change the simulated state, so later trades in the batch + # see the effect of earlier ones (cumulative cash use, position build-up). + if verdict.approved: + state.apply(req, self.cache.get_price(req.ticker) or 0.0) + # Every verdict is audited, approved or not. + self.log( + "validate_trade", + "success" if verdict.approved else "rejected", + input=req, + output=verdict, + error="; ".join(verdict.reasons) or None, + ) + verdicts.append(verdict) + return verdicts + + def _check(self, req: TradeRequest, state: _SimState) -> RiskVerdict: + lim = self.limits + reasons: list[str] = [] + warnings: list[str] = [] + + # --- Basic sanity checks. All failures are collected so the user sees every problem. + # (side is a Literal, so pydantic has already rejected anything but buy/sell.) + if not math.isfinite(req.quantity) or req.quantity <= 0: + reasons.append("quantity must be a positive number") + elif req.quantity < lim.min_quantity: + reasons.append(f"quantity must be at least {lim.min_quantity:g}") + valid_ticker = bool(TICKER_RE.match(req.ticker)) + if not valid_ticker: + reasons.append(f"'{req.ticker}' is not a valid ticker symbol") + + # A ticker is 'known' only if the market data source is currently pricing it. + price = self.cache.get_price(req.ticker) if valid_ticker else None + if valid_ticker and price is None: + reasons.append(f"no market price available for {req.ticker}") + + # Nothing further can be checked without a valid quantity/ticker/price. + if reasons: + return RiskVerdict(approved=False, reasons=reasons) + + amount = req.quantity * price + # --- Affordability: cash for buys, shares for sells. + if req.side == "buy": + if amount > state.cash + EPS: + reasons.append( + f"insufficient cash: order costs ${amount:,.2f}, available ${state.cash:,.2f}" + ) + else: + held = state.holdings.get(req.ticker, 0.0) + if held <= EPS: + reasons.append(f"no {req.ticker} position to sell") + elif req.quantity > held + EPS: + reasons.append( + f"insufficient shares: selling {req.quantity:g} {req.ticker}, holding {held:g}" + ) + + # --- Order-size cap (as % of total portfolio value). + if state.total_value > 0 and amount / state.total_value * 100 > lim.max_order_pct + EPS: + reasons.append(f"order exceeds {lim.max_order_pct:g}% of portfolio value") + + # --- Concentration limits apply to buys only: judge the post-trade weight. + if req.side == "buy" and not reasons: + weight = state.weight_pct(req.ticker, extra_value=amount) + if weight > lim.max_position_pct + EPS: + reasons.append( + f"{req.ticker} would be {weight:.1f}% of the portfolio " + f"(limit {lim.max_position_pct:g}%)" + ) + elif weight > lim.warn_position_pct: + warnings.append(f"{req.ticker} would be {weight:.1f}% of the portfolio") + # Soft warning: the buy leaves the portfolio nearly fully invested. + cash_after_pct = (state.cash - amount) / state.total_value * 100 if state.total_value else 100 + if not reasons and cash_after_pct < lim.min_cash_pct_warn: + warnings.append(f"trade leaves only {cash_after_pct:.1f}% of the portfolio in cash") + + # Soft warning only: realizing a loss is allowed but worth flagging. + if req.side == "sell" and not reasons: + avg_cost = state.avg_costs.get(req.ticker) + if avg_cost is not None and price < avg_cost: + warnings.append( + f"selling {req.ticker} at a loss (avg cost ${avg_cost:,.2f}, price ${price:,.2f})" + ) + + return RiskVerdict(approved=not reasons, reasons=reasons, warnings=warnings) + + # ------------------------------------------------------------------ portfolio-level view + + def assess(self, summary: PortfolioSummary) -> RiskAssessment: + lim = self.limits + metrics = position_metrics(summary) + hhi = herfindahl(metrics) + cash = cash_pct(summary) + over_warn = [m.ticker for m in metrics if m.weight_pct > lim.warn_position_pct] + over_limit = [m.ticker for m in metrics if m.weight_pct > lim.max_position_pct] + + flags = concentration_flags(metrics, lim.warn_position_pct) + if metrics and cash < lim.min_cash_pct_warn: + flags.append(f"only {cash:.1f}% cash remaining") + if len(metrics) == 1: + flags.append("portfolio holds a single position") + + # Overall level: hard-limit breach or a very concentrated book is 'high'; + # any warn-level position or moderate concentration is 'moderate'. + if over_limit or hhi > 0.5: + level = "high" + elif over_warn or hhi > 0.3: + level = "moderate" + else: + level = "low" + + result = RiskAssessment( + limits=lim, + total_value=summary.total_value, + cash_pct=cash, + largest_position=max(metrics, key=lambda m: m.weight_pct, default=None), + herfindahl_index=hhi, + positions_over_warn=over_warn, + positions_over_limit=over_limit, + level=level, + flags=flags, + ) + self.log("assess", "success", output=result) + return result diff --git a/backend/app/agents/watchlist.py b/backend/app/agents/watchlist.py new file mode 100644 index 000000000..90ed64c73 --- /dev/null +++ b/backend/app/agents/watchlist.py @@ -0,0 +1,149 @@ +"""Watchlist Agent: owns the watchlist table and keeps the market data source in sync.""" + +from __future__ import annotations + +import os + +from ..db import Database +from ..market import MarketDataSource, PriceCache +from .base import USER_ID, BaseAgent, new_id, now_iso +from .models import ( + TICKER_RE, + WatchlistChange, + WatchlistEntry, + WatchlistResult, + normalize_ticker, +) + + +def _max_watchlist() -> int: + """Upper bound on watched tickers (each costs a price-stream / API-poll slot). + + Read on use, not at import, so a value set in .env (loaded by create_app) is honoured. + """ + try: + return int(os.environ.get("MAX_WATCHLIST", "50")) + except ValueError: + return 50 + + +class WatchlistAgent(BaseAgent): + agent_id = "watchlist" + + def __init__(self, db: Database, cache: PriceCache, source: MarketDataSource) -> None: + super().__init__(db) + self.cache = cache + self.source = source + + # ------------------------------------------------------------------ reads + + def _rows(self) -> list[dict]: + """The single watchlist query, so ordering and filtering cannot drift between readers.""" + return self.db.query( + "SELECT ticker, added_by, added_at FROM watchlist WHERE user_id=?" + " ORDER BY added_at, ticker", + (USER_ID,), + ) + + def tickers(self) -> list[str]: + """Watchlist tickers only.""" + return [r["ticker"] for r in self._rows()] + + def tracked_tickers(self) -> list[str]: + """Union of watchlist and held positions: what the market data source must price.""" + # Positions must keep being priced even if the ticker leaves the watchlist. + held = [ + r["ticker"] + for r in self.db.query("SELECT ticker FROM positions WHERE user_id=?", (USER_ID,)) + ] + return sorted(set(self.tickers()) | set(held)) + + def list_with_prices(self) -> list[WatchlistEntry]: + out = [] + for r in self._rows(): + upd = self.cache.get(r["ticker"]) + prices = ( + { + "price": upd.price, + "previous_price": upd.previous_price, + "change_percent": upd.change_percent, + "direction": upd.direction, + } + if upd + else {} + ) + out.append(WatchlistEntry(**r, **prices)) + return out + + # ------------------------------------------------------------------ writes + + def _result( + self, + action: str, + ticker: str, + ok: bool, + error: str | None = None, + note: str | None = None, + ) -> WatchlistResult: + """Build the result and audit-log it, so every outcome is returned and recorded alike.""" + result = WatchlistResult(ok=ok, ticker=ticker, action=action, error=error, note=note) + self.log(action, "success" if ok else "rejected", input=ticker, output=result, error=error) + return result + + async def add(self, ticker: str, added_by: str = "user") -> WatchlistResult: + ticker = normalize_ticker(ticker) + if not TICKER_RE.match(ticker): + return self._result("add", ticker, False, f"'{ticker}' is not a valid ticker symbol") + # Adding is idempotent: an existing entry is reported as success, not an error. + if self.db.query_one( + "SELECT 1 FROM watchlist WHERE user_id=? AND ticker=?", (USER_ID, ticker) + ): + return self._result("add", ticker, True, note="already on the watchlist") + count = self.db.query_one( + "SELECT COUNT(*) AS n FROM watchlist WHERE user_id=?", (USER_ID,) + )["n"] + if count >= _max_watchlist(): + return self._result("add", ticker, False, f"watchlist is full ({_max_watchlist()} tickers)") + + # Start pricing the ticker first so it has a quote as soon as it appears in the list. + await self.source.add_ticker(ticker) + self.db.execute( + "INSERT INTO watchlist (id, user_id, ticker, added_at, added_by) VALUES (?,?,?,?,?)", + (new_id(), USER_ID, ticker, now_iso(), added_by), + ) + return self._result("add", ticker, True) + + async def remove(self, ticker: str) -> WatchlistResult: + ticker = normalize_ticker(ticker) + cur = self.db.execute( + "DELETE FROM watchlist WHERE user_id=? AND ticker=?", (USER_ID, ticker) + ) + if cur.rowcount == 0: + return self._result("remove", ticker, False, f"{ticker} is not on the watchlist") + # Held tickers must keep streaming prices so the portfolio stays valued. + if not self.db.query_one( + "SELECT 1 FROM positions WHERE user_id=? AND ticker=?", (USER_ID, ticker) + ): + await self.source.remove_ticker(ticker) + return self._result("remove", ticker, True) + + async def apply_changes( + self, changes: list[WatchlistChange], added_by: str = "user" + ) -> list[WatchlistResult]: + """Apply a batch; one failure does not block the rest.""" + out = [] + for c in changes: + out.append( + await (self.add(c.ticker, added_by) if c.action == "add" else self.remove(c.ticker)) + ) + return out + + async def ensure_priced(self, ticker: str) -> None: + """Make sure the market source is pricing a ticker about to be traded. + + Lets a trade on a ticker that is not on the watchlist get a price. It does not add the + ticker to the watchlist. + """ + ticker = normalize_ticker(ticker) + if TICKER_RE.match(ticker) and ticker not in self.cache: + await self.source.add_ticker(ticker) diff --git a/backend/app/db.py b/backend/app/db.py new file mode 100644 index 000000000..af8db5a3f --- /dev/null +++ b/backend/app/db.py @@ -0,0 +1,100 @@ +"""SQLite access: lazy schema initialisation, a shared connection and a transaction helper.""" + +from __future__ import annotations + +import os +import sqlite3 +import threading +from collections.abc import Iterator +from contextlib import contextmanager +from pathlib import Path +from typing import Any + +# schema.sql lives in backend/db/, next to (not inside) the app package. +# backend/app/db.py -> parents[2] is the project root (where .env, db/ and static/ live). +PROJECT_ROOT = Path(__file__).resolve().parents[2] +SCHEMA_PATH = Path(__file__).resolve().parents[1] / "db" / "schema.sql" +# Runtime database: /db/finally.db (the Docker volume mount target). +DEFAULT_DB_PATH = PROJECT_ROOT / "db" / "finally.db" + + +def resolve_db_path() -> str: + """Database location: FINALLY_DB_PATH if set, otherwise /db/finally.db. + + ":memory:" is accepted (used by tests). + """ + return os.environ.get("FINALLY_DB_PATH") or str(DEFAULT_DB_PATH) + + +class Database: + """Single shared SQLite connection guarded by a re-entrant lock. + + The app is single-user, so one serialized connection is enough. All statements go + through `execute`/`query`; multi-statement atomic work uses `transaction()`. + """ + + def __init__(self, path: str | None = None) -> None: + self.path = path or resolve_db_path() + # Make sure the db/ directory exists so a fresh checkout or volume just works. + if self.path != ":memory:": + Path(self.path).parent.mkdir(parents=True, exist_ok=True) + # isolation_level=None -> autocommit; transactions are explicit via transaction(). + self._conn = sqlite3.connect(self.path, check_same_thread=False, isolation_level=None) + # Rows behave like dicts, so callers use column names instead of tuple indexes. + self._conn.row_factory = sqlite3.Row + # Re-entrant: transaction() and execute() may nest within the same thread. + self._lock = threading.RLock() + # Nesting counter so an inner transaction() joins the outer one instead of erroring. + self._tx_depth = 0 + + def init_schema(self) -> None: + """Create tables and seed data. Idempotent (every statement is IF NOT EXISTS / OR IGNORE).""" + with self._lock: + self._conn.execute("PRAGMA foreign_keys = ON") + # WAL gives better read/write concurrency; not applicable to in-memory databases. + if self.path != ":memory:": + self._conn.execute("PRAGMA journal_mode = WAL") + # NORMAL is crash-safe under WAL and avoids an fsync on every commit. + self._conn.execute("PRAGMA synchronous = NORMAL") + self._conn.executescript(SCHEMA_PATH.read_text(encoding="utf-8")) + + def execute(self, sql: str, params: tuple | dict = ()) -> sqlite3.Cursor: + with self._lock: + return self._conn.execute(sql, params) + + def query(self, sql: str, params: tuple | dict = ()) -> list[dict[str, Any]]: + with self._lock: + return [dict(r) for r in self._conn.execute(sql, params).fetchall()] + + def query_one(self, sql: str, params: tuple | dict = ()) -> dict[str, Any] | None: + with self._lock: + row = self._conn.execute(sql, params).fetchone() + return dict(row) if row else None + + @contextmanager + def transaction(self) -> Iterator[None]: + """Atomic block. Nested use joins the outer transaction.""" + with self._lock: + outer = self._tx_depth == 0 + if outer: + # IMMEDIATE takes the write lock up front, so a read-then-write sequence + # (e.g. check cash, then debit it) cannot be interleaved with another writer. + self._conn.execute("BEGIN IMMEDIATE") + self._tx_depth += 1 + try: + yield + except BaseException: + # Any error (including cancellation) rolls the whole block back, then propagates. + # Inner blocks only propagate; the outermost one issues the ROLLBACK. + if outer: + self._conn.execute("ROLLBACK") + raise + else: + if outer: + self._conn.execute("COMMIT") + finally: + self._tx_depth -= 1 + + def close(self) -> None: + with self._lock: + self._conn.close() diff --git a/backend/app/main.py b/backend/app/main.py new file mode 100644 index 000000000..3bed5838d --- /dev/null +++ b/backend/app/main.py @@ -0,0 +1,251 @@ +"""FinAlly FastAPI application: routes, lifecycle and wiring of the five agents.""" + +from __future__ import annotations + +import asyncio +import contextlib +import logging +import os +from contextlib import asynccontextmanager +from dataclasses import dataclass +from pathlib import Path + +from dotenv import load_dotenv +from fastapi import FastAPI, HTTPException, Request +from fastapi.responses import JSONResponse +from fastapi.staticfiles import StaticFiles +from pydantic import BaseModel + +from .agents import ( + AnalyzerAgent, + OrchestratorAgent, + PortfolioAgent, + RiskAgent, + WatchlistAgent, +) +from .agents.base import correlation_id, new_id +from .agents.models import ( + AnalysisReport, + ChatRequest, + ChatResponse, + PortfolioSummary, + RiskAssessment, + Snapshot, + TradeOrder, + TradeRequest, + TradeResult, + WatchlistChange, + WatchlistEntry, + WatchlistResult, + normalize_ticker, +) +from .db import PROJECT_ROOT, Database +from .market import MarketDataSource, PriceCache, create_market_data_source, create_stream_router + +logger = logging.getLogger(__name__) + +STATIC_DIR = Path(os.environ.get("FINALLY_STATIC_DIR") or PROJECT_ROOT / "static") +# Portfolio value is snapshotted this often for the P&L chart (PLAN.md section 7). +SNAPSHOT_INTERVAL_SECONDS = 30.0 + + +# --------------------------------------------------------------------------- API models + + +class TradeResponse(BaseModel): + # Returns the fresh portfolio too, so the UI can update without a second request. + trade: TradeResult + portfolio: PortfolioSummary + + +class WatchlistResponse(BaseModel): + result: WatchlistResult + watchlist: list[WatchlistEntry] + + +@dataclass +class Agents: + """The wired agent bundle, stored on app.state.agents (typed, so typos are caught).""" + + db: Database + source: MarketDataSource + watchlist: WatchlistAgent + portfolio: PortfolioAgent + analyzer: AnalyzerAgent + risk: RiskAgent + orchestrator: OrchestratorAgent + + +# --------------------------------------------------------------------------- lifecycle + + +async def _snapshot_loop(portfolio: PortfolioAgent, interval: float) -> None: + # Runs for the app lifetime; cancelled on shutdown. + while True: + await asyncio.sleep(interval) + try: + portfolio.record_snapshot() + except Exception: # noqa: BLE001 - a failed snapshot must not kill the loop + logger.exception("portfolio snapshot failed") + + +def create_app(db_path: str | None = None, snapshot_interval: float = SNAPSHOT_INTERVAL_SECONDS): + """Build the app. `db_path` (e.g. ":memory:") overrides FINALLY_DB_PATH, mainly for tests.""" + # Load .env before anything reads OPENROUTER_API_KEY / MASSIVE_API_KEY / LLM_MOCK. + load_dotenv(PROJECT_ROOT / ".env") + + # Created here (not in lifespan) because the SSE router needs the cache at build time. + cache = PriceCache() + + @asynccontextmanager + async def lifespan(app: FastAPI): + db = Database(db_path) + db.init_schema() # lazy init: creates tables and seeds defaults if missing + + # Simulator by default; Massive if MASSIVE_API_KEY is set. + source = create_market_data_source(cache) + watchlist = WatchlistAgent(db, cache, source) + portfolio = PortfolioAgent(db, cache) + risk = RiskAgent(db, cache) + analyzer = AnalyzerAgent(db, cache, risk.limits.warn_position_pct) + orchestrator = OrchestratorAgent(db, portfolio, analyzer, risk, watchlist) + + # Price the watchlist plus any held positions from the start. + await source.start(watchlist.tracked_tickers()) + portfolio.record_snapshot() # gives the P&L chart a first point immediately + task = asyncio.create_task(_snapshot_loop(portfolio, snapshot_interval)) + + # Handlers reach the agents through app.state, so each app instance (e.g. per test) + # has its own database and agents. + app.state.agents = Agents(db, source, watchlist, portfolio, analyzer, risk, orchestrator) + try: + yield + finally: + # Shutdown: stop the snapshot loop, then the price source, then close the DB. + task.cancel() + with contextlib.suppress(asyncio.CancelledError): + await task + await source.stop() + db.close() + + app = FastAPI(title="FinAlly", version="0.1.0", lifespan=lifespan) + + # Tag each request with a fresh correlation id so all agent_logs rows for it can be joined. + @app.middleware("http") + async def correlation_middleware(request: Request, call_next): + correlation_id.set(new_id()) + return await call_next(request) + + # Small accessor for the agent bundle created in lifespan. + def agents(request: Request) -> Agents: + return request.app.state.agents + + # ----------------------------------------------------------------- system + + @app.get("/api/health") + async def health(): + return {"status": "ok"} + + # ----------------------------------------------------------------- market data (SSE) + + # The SSE endpoint (/api/stream/prices) comes from the market data package. + app.include_router(create_stream_router(cache)) + + # ----------------------------------------------------------------- portfolio + + @app.get("/api/portfolio", response_model=PortfolioSummary) + def get_portfolio(request: Request): + return agents(request).portfolio.get_summary() + + @app.get("/api/portfolio/history", response_model=list[Snapshot]) + def get_history(request: Request, limit: int = 1000): + return agents(request).portfolio.get_history(max(1, min(limit, 5000))) + + # Two public paths for the same handler: /api/trade and the PLAN.md section 8 path. + @app.post("/api/trade", response_model=TradeResponse) + @app.post("/api/portfolio/trade", response_model=TradeResponse) + async def trade(request: Request, body: TradeOrder): + """Manual market order. Flow: price -> Risk -> Portfolio.""" + a = agents(request) + # Provenance is server-owned: the client payload (TradeOrder) has no `source` field. + req = TradeRequest(**body.model_dump(), source="manual") + await a.watchlist.ensure_priced(req.ticker) + verdict = a.risk.validate_trade(req, a.portfolio.get_summary()) + # Risk rejection -> 400 with every reason so the UI can show them. + if not verdict.approved: + raise HTTPException( + status_code=400, + detail={"error": "; ".join(verdict.reasons), "reasons": verdict.reasons}, + ) + result = a.portfolio.execute_trade(req, verdict) + # Mechanical failure inside the transaction (e.g. a race): same shape of error. + if not result.ok: + raise HTTPException( + status_code=400, detail={"error": result.error, "reasons": [result.error]} + ) + return TradeResponse(trade=result, portfolio=a.portfolio.get_summary()) + + # ----------------------------------------------------------------- analysis / risk + + @app.get("/api/analysis", response_model=AnalysisReport) + def get_analysis(request: Request): + a = agents(request) + return a.analyzer.analyze(a.portfolio.get_summary(), a.watchlist.tickers()) + + @app.get("/api/risk-assessment", response_model=RiskAssessment) + def get_risk_assessment(request: Request): + a = agents(request) + return a.risk.assess(a.portfolio.get_summary()) + + # ----------------------------------------------------------------- watchlist + + @app.get("/api/watchlist", response_model=list[WatchlistEntry]) + def get_watchlist(request: Request): + return agents(request).watchlist.list_with_prices() + + def _watchlist_response(a: Agents, result: WatchlistResult) -> WatchlistResponse: + return WatchlistResponse(result=result, watchlist=a.watchlist.list_with_prices()) + + @app.post("/api/watchlist", response_model=WatchlistResponse) + async def modify_watchlist(request: Request, body: WatchlistChange): + """Add or remove a ticker: {"ticker": "PYPL", "action": "add" | "remove"}.""" + a = agents(request) + # apply_changes takes a batch; here it is always exactly one change. + (result,) = await a.watchlist.apply_changes([body], added_by="user") + if not result.ok: + raise HTTPException(status_code=400, detail={"error": result.error}) + return _watchlist_response(a, result) + + @app.delete("/api/watchlist/{ticker}", response_model=WatchlistResponse) + async def delete_watchlist_ticker(request: Request, ticker: str): + a = agents(request) + result = await a.watchlist.remove(normalize_ticker(ticker)) + if not result.ok: + raise HTTPException(status_code=404, detail={"error": result.error}) + return _watchlist_response(a, result) + + # ----------------------------------------------------------------- chat + + @app.post("/api/chat", response_model=ChatResponse) + async def chat(request: Request, body: ChatRequest): + return await agents(request).orchestrator.handle_message(body.message.strip()) + + # ----------------------------------------------------------------- errors + + # Flatten errors to {"error": ...} (plus "reasons" for trades) instead of {"detail": ...}. + @app.exception_handler(HTTPException) + async def http_error(_: Request, exc: HTTPException): + detail = exc.detail if isinstance(exc.detail, dict) else {"error": str(exc.detail)} + return JSONResponse(status_code=exc.status_code, content=detail) + + # ----------------------------------------------------------------- static frontend (last) + + # Mounted last so it never shadows /api routes; only present once the frontend is built. + if STATIC_DIR.is_dir(): + app.mount("/", StaticFiles(directory=STATIC_DIR, html=True), name="static") + + return app + + +# Module-level instance for `uvicorn app.main:app`. +app = create_app() diff --git a/backend/db/schema.sql b/backend/db/schema.sql new file mode 100644 index 000000000..e4e56d035 --- /dev/null +++ b/backend/db/schema.sql @@ -0,0 +1,140 @@ +-- FinAlly SQLite schema (multi-agent design; see planning/AGENT_ARCHITECTURE.md) +-- Applied lazily on first request: every statement is idempotent (IF NOT EXISTS / OR IGNORE). +-- Conventions: ids are UUID text; timestamps are ISO-8601 UTC text; user_id defaults to 'default' +-- (single-user today, multi-user-ready). Fractional shares are supported. + +PRAGMA foreign_keys = ON; + +-- --------------------------------------------------------------------------- +-- portfolio_state: one row per user. Cash is the source of truth; total_value +-- and pnl are cached aggregates refreshed by the Portfolio Agent. +-- --------------------------------------------------------------------------- +CREATE TABLE IF NOT EXISTS portfolio_state ( + user_id TEXT PRIMARY KEY DEFAULT 'default', + cash_balance REAL NOT NULL DEFAULT 10000.0 CHECK (cash_balance >= 0), + starting_cash REAL NOT NULL DEFAULT 10000.0, -- baseline for total P&L + total_value REAL NOT NULL DEFAULT 10000.0, -- cash + positions at market + unrealized_pnl REAL NOT NULL DEFAULT 0.0, + realized_pnl REAL NOT NULL DEFAULT 0.0, + total_pnl REAL NOT NULL DEFAULT 0.0, -- total_value - starting_cash + updated_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')) +); + +-- --------------------------------------------------------------------------- +-- positions: current holdings, one row per ticker. Rows are deleted when the +-- quantity reaches zero. current_price is denormalized and refreshed from the +-- market data cache. +-- --------------------------------------------------------------------------- +CREATE TABLE IF NOT EXISTS positions ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + ticker TEXT NOT NULL, + quantity REAL NOT NULL CHECK (quantity > 0), + avg_cost REAL NOT NULL CHECK (avg_cost >= 0), + current_price REAL, -- NULL until the first price refresh + updated_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')), + UNIQUE (user_id, ticker) +); + +-- --------------------------------------------------------------------------- +-- trades: append-only execution log. +-- agent_id = which agent executed it (always 'portfolio' today) +-- source = who asked for it: the trade bar, the chat, or an automated process +-- --------------------------------------------------------------------------- +CREATE TABLE IF NOT EXISTS trades ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + ticker TEXT NOT NULL, + side TEXT NOT NULL CHECK (side IN ('buy', 'sell')), + quantity REAL NOT NULL CHECK (quantity > 0), + price REAL NOT NULL CHECK (price > 0), + realized_pnl REAL, -- sells only: (price - avg_cost) * quantity + timestamp TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')), + agent_id TEXT NOT NULL DEFAULT 'portfolio', + source TEXT NOT NULL DEFAULT 'manual' CHECK (source IN ('manual', 'chat', 'system')), + correlation_id TEXT -- joins to agent_logs for the same request +); +CREATE INDEX IF NOT EXISTS idx_trades_user_time ON trades (user_id, timestamp DESC); +CREATE INDEX IF NOT EXISTS idx_trades_user_ticker ON trades (user_id, ticker); + +-- --------------------------------------------------------------------------- +-- portfolio_snapshots: total value over time for the P&L chart. Written every +-- 30 s by a background task and immediately after each trade. +-- --------------------------------------------------------------------------- +CREATE TABLE IF NOT EXISTS portfolio_snapshots ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + total_value REAL NOT NULL, + cash_balance REAL NOT NULL, + positions_value REAL NOT NULL, + total_pnl REAL NOT NULL, + recorded_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')) +); +CREATE INDEX IF NOT EXISTS idx_snapshots_user_time ON portfolio_snapshots (user_id, recorded_at); + +-- --------------------------------------------------------------------------- +-- watchlist: tracked tickers. added_by = 'user' | 'ai' | 'system'. +-- --------------------------------------------------------------------------- +CREATE TABLE IF NOT EXISTS watchlist ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + ticker TEXT NOT NULL, + added_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')), + added_by TEXT NOT NULL DEFAULT 'user' CHECK (added_by IN ('user', 'ai', 'system')), + UNIQUE (user_id, ticker) +); + +-- --------------------------------------------------------------------------- +-- chat_messages: one row per exchange (user message + AI response). +-- executed_trades / watchlist_changes are JSON arrays of the agents' results +-- (including failed items with their error), NULL/'[]' when there were none. +-- --------------------------------------------------------------------------- +CREATE TABLE IF NOT EXISTS chat_messages ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + user_message TEXT NOT NULL, + ai_response TEXT NOT NULL, + executed_trades TEXT NOT NULL DEFAULT '[]' CHECK (json_valid(executed_trades)), + watchlist_changes TEXT NOT NULL DEFAULT '[]' CHECK (json_valid(watchlist_changes)), + correlation_id TEXT, + created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')) +); +CREATE INDEX IF NOT EXISTS idx_chat_user_time ON chat_messages (user_id, created_at); + +-- --------------------------------------------------------------------------- +-- agent_logs: audit trail of which agent did what. All agent calls within one +-- API request share a correlation_id, so a full chat turn can be reconstructed. +-- --------------------------------------------------------------------------- +CREATE TABLE IF NOT EXISTS agent_logs ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL DEFAULT 'default', + correlation_id TEXT NOT NULL, + agent_id TEXT NOT NULL CHECK (agent_id IN ('portfolio', 'analyzer', 'risk', 'watchlist', 'orchestrator')), + action TEXT NOT NULL, -- e.g. 'execute_trade', 'validate_trade' + status TEXT NOT NULL CHECK (status IN ('success', 'rejected', 'error')), + input TEXT CHECK (input IS NULL OR json_valid(input)), + output TEXT CHECK (output IS NULL OR json_valid(output)), + error TEXT, + duration_ms INTEGER, + created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now')) +); +CREATE INDEX IF NOT EXISTS idx_agent_logs_corr ON agent_logs (correlation_id); +CREATE INDEX IF NOT EXISTS idx_agent_logs_agent ON agent_logs (agent_id, created_at DESC); + +-- --------------------------------------------------------------------------- +-- Seed data (only inserted if absent) +-- --------------------------------------------------------------------------- +INSERT OR IGNORE INTO portfolio_state (user_id, cash_balance, starting_cash, total_value) +VALUES ('default', 10000.0, 10000.0, 10000.0); + +INSERT OR IGNORE INTO watchlist (id, user_id, ticker, added_by) VALUES + ('seed-aapl', 'default', 'AAPL', 'system'), + ('seed-googl', 'default', 'GOOGL', 'system'), + ('seed-msft', 'default', 'MSFT', 'system'), + ('seed-amzn', 'default', 'AMZN', 'system'), + ('seed-tsla', 'default', 'TSLA', 'system'), + ('seed-nvda', 'default', 'NVDA', 'system'), + ('seed-meta', 'default', 'META', 'system'), + ('seed-jpm', 'default', 'JPM', 'system'), + ('seed-v', 'default', 'V', 'system'), + ('seed-nflx', 'default', 'NFLX', 'system'); diff --git a/backend/pyproject.toml b/backend/pyproject.toml index e172cca22..59b81867b 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -10,6 +10,9 @@ dependencies = [ "numpy>=2.0.0", "massive>=1.0.0", "rich>=13.0.0", + "litellm>=1.50.0", + "pydantic>=2.9.0", + "python-dotenv>=1.0.0", ] [project.optional-dependencies] @@ -18,6 +21,7 @@ dev = [ "pytest-asyncio>=0.24.0", "pytest-cov>=5.0.0", "ruff>=0.7.0", + "httpx>=0.27.0", ] [build-system] diff --git a/backend/tests/api/__init__.py b/backend/tests/api/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/tests/api/test_api.py b/backend/tests/api/test_api.py new file mode 100644 index 000000000..5d0727a12 --- /dev/null +++ b/backend/tests/api/test_api.py @@ -0,0 +1,144 @@ +"""End-to-end API tests: FastAPI app + real agents + in-memory SQLite + simulator prices.""" + +import pytest +from fastapi.testclient import TestClient + +from app.main import create_app + + +# Each test gets a fresh app: in-memory DB, mock LLM, simulator prices (no network, no API keys). +@pytest.fixture +def client(monkeypatch): + monkeypatch.setenv("LLM_MOCK", "true") + monkeypatch.delenv("MASSIVE_API_KEY", raising=False) + with TestClient(create_app(":memory:", snapshot_interval=3600)) as c: + yield c + + +@pytest.fixture +def db(client): + return client.app.state.agents.db + + +# Helper for POST /api/trade; sells via side="sell" (named `buy` because that is the common case). +def buy(client, ticker="AAPL", qty=1, side="buy"): + return client.post("/api/trade", json={"ticker": ticker, "side": side, "quantity": qty}) + + +def test_fresh_state(client): + p = client.get("/api/portfolio").json() + assert p["cash_balance"] == 10000 and p["positions"] == [] and p["total_value"] == 10000 + assert len(client.get("/api/watchlist").json()) == 10 + assert client.get("/api/health").json() == {"status": "ok"} + assert len(client.get("/api/portfolio/history").json()) >= 1 + + +def test_buy_then_sell_updates_cash_and_positions(client): + r = buy(client, "AAPL", 5) + assert r.status_code == 200 + price = r.json()["trade"]["price"] + p = client.get("/api/portfolio").json() + assert p["cash_balance"] == pytest.approx(10000 - 5 * price) + assert p["positions"][0]["ticker"] == "AAPL" and p["positions"][0]["quantity"] == 5 + + assert buy(client, "AAPL", 5, "sell").status_code == 200 + p = client.get("/api/portfolio").json() + assert p["positions"] == [] + assert p["cash_balance"] == pytest.approx(10000, abs=1e-6) + + +def test_average_cost_on_second_buy(client): + buy(client, "MSFT", 2) + buy(client, "MSFT", 2) + pos = client.get("/api/portfolio").json()["positions"][0] + assert pos["quantity"] == 4 and pos["avg_cost"] > 0 + + +def test_rejections(client): + # Each rejection must leave the portfolio untouched (checked at the end). + assert buy(client, "AAPL", 100000).status_code == 400 # insufficient cash + assert "insufficient cash" in buy(client, "AAPL", 100000).json()["error"] + assert buy(client, "AAPL", 1, "sell").status_code == 400 # nothing to sell + assert buy(client, "AAPL", -1).status_code == 400 + assert buy(client, "AAPL", 0).status_code == 400 + assert buy(client, "not a ticker", 1).status_code == 400 + assert client.get("/api/portfolio").json()["cash_balance"] == 10000 + + +def test_position_limit(client): + # ~$9k of a ~$190 stock is >50% of the portfolio -> rejected by the risk agent + r = buy(client, "AAPL", 40) + assert r.status_code == 400 and "portfolio" in r.json()["error"] + + +def test_trade_of_unwatched_ticker_gets_price(client): + assert buy(client, "PYPL", 1).status_code == 200 + + +def test_watchlist_add_remove(client): + r = client.post("/api/watchlist", json={"ticker": "pypl", "action": "add"}) + assert r.status_code == 200 and "PYPL" in [e["ticker"] for e in r.json()["watchlist"]] + r = client.post("/api/watchlist", json={"ticker": "PYPL", "action": "remove"}) + assert "PYPL" not in [e["ticker"] for e in r.json()["watchlist"]] + assert client.post("/api/watchlist", json={"ticker": "PYPL", "action": "remove"}).status_code == 400 + assert client.post("/api/watchlist", json={"ticker": "!!", "action": "add"}).status_code == 400 + # Bad action is a validation error (422), unlike a domain failure (400). + assert client.post("/api/watchlist", json={"ticker": "A", "action": "nuke"}).status_code == 422 + assert client.delete("/api/watchlist/NFLX").status_code == 200 + + +def test_analysis_and_risk(client): + assert buy(client, "NVDA", 2).status_code == 200 + a = client.get("/api/analysis").json() + assert a["positions"][0]["ticker"] == "NVDA" and a["cash_pct"] < 100 + r = client.get("/api/risk-assessment").json() + assert r["level"] in ("low", "moderate", "high") and r["largest_position"]["ticker"] == "NVDA" + + +def test_chat_executes_trades_and_watchlist(client): + r = client.post("/api/chat", json={"message": "buy 3 AAPL and add PYPL to my watchlist"}) + assert r.status_code == 200 + body = r.json() + assert body["executed_trades"][0]["ok"] and body["watchlist_changes"][0]["ok"] + assert client.get("/api/portfolio").json()["positions"][0]["ticker"] == "AAPL" + assert "PYPL" in [e["ticker"] for e in client.get("/api/watchlist").json()] + + +def test_chat_failed_trade_is_reported(client): + body = client.post("/api/chat", json={"message": "sell 5 TSLA"}).json() + assert body["executed_trades"][0]["ok"] is False + assert "Could not sell" in body["message"] + + +def test_chat_batch_is_validated_cumulatively(client): + # ~$3.8k (38%) passes the 50% position limit; the second identical buy would reach ~76% + body = client.post("/api/chat", json={"message": "buy 20 AAPL then buy 20 AAPL"}).json() + assert [t["ok"] for t in body["executed_trades"]] == [True, False] + assert client.get("/api/portfolio").json()["positions"][0]["quantity"] == 20 + + +def test_chat_validation_and_history(client, db): + assert client.post("/api/chat", json={"message": ""}).status_code == 422 + client.post("/api/chat", json={"message": "hello"}) + rows = db.query("SELECT * FROM chat_messages") + assert len(rows) == 1 and rows[0]["user_message"] == "hello" + + +def test_audit_log_shares_correlation_id(client, db): + client.post("/api/chat", json={"message": "buy 1 AAPL"}) + # One chat turn should leave audit rows from all four participating agents, all under one + # correlation id that the trade row also carries. + logs = db.query( + "SELECT agent_id, correlation_id FROM agent_logs ORDER BY created_at DESC" + ) + agents = {r["agent_id"] for r in logs} + assert {"orchestrator", "risk", "portfolio", "analyzer"} <= agents + trade = db.query_one("SELECT * FROM trades") + assert trade["source"] == "chat" and trade["agent_id"] == "portfolio" + assert trade["correlation_id"] in {r["correlation_id"] for r in logs} + + +def test_manual_source_cannot_be_spoofed(client, db): + # The client claims source='system'; the API must still record 'manual'. + client.post("/api/trade", json={"ticker": "AAPL", "side": "buy", "quantity": 1, "source": "system"}) + assert db.query_one("SELECT source 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a/planning/AGENT_ARCHITECTURE.md b/planning/AGENT_ARCHITECTURE.md new file mode 100644 index 000000000..fc4c61cb7 --- /dev/null +++ b/planning/AGENT_ARCHITECTURE.md @@ -0,0 +1,281 @@ +# FinAlly — Multi-Agent Architecture + +This document replaces the single-LLM chat flow in PLAN.md §9 with five collaborating agents. The HTTP API (PLAN.md §8), the structured-output schema and the auto-execution behavior are unchanged. Only the internals of `POST /api/chat` and `POST /api/portfolio/trade` change. + +## 1. Design Principles + +- **One LLM call per chat turn.** Only the Orchestrator calls the LLM (LiteLLM → OpenRouter → Cerebras, per the `cerebras` skill). The other four agents are deterministic Python. That makes them testable and cheap, and it keeps latency to a single round trip. +- **Money moves through one path only.** Every trade, whether it comes from the trade bar, the chat or a future automation, goes Risk Agent → Portfolio Agent. Nothing else writes to `positions` or `portfolio_state`. +- **Agents are plain classes with typed methods**, not autonomous loops. They share a DB connection and the market-data price cache, and they communicate through Pydantic models. +- **Everything is auditable.** Each agent call writes a row to `agent_logs`, and each trade carries the `agent_id` and `source` that produced it. + +``` + POST /api/chat POST /api/portfolio/trade + │ │ + ▼ │ + ┌──────────────────────────┐ │ + │ Chat Orchestrator Agent │ │ + │ (the only LLM caller) │ │ + └──┬────────┬───────────┬──┘ │ + context │ │ trades │ watchlist_changes │ + ▼ ▼ ▼ │ + ┌──────────┐ ┌────────┐ ┌───────────────┐ │ + │ Analyzer │ │ Risk │ │ Watchlist │ │ + └──────────┘ └───┬────┘ └───────────────┘ │ + │ approved │ + ▼ ▼ + ┌───────────┐ ◄──────────────────────── Risk ◄─ manual trade + │ Portfolio │ + └───────────┘ + │ + SQLite + price cache +``` + +## 2. Shared Types + +```python +Side = Literal["buy", "sell"] +Source = Literal["manual", "chat", "system"] + +class TradeRequest(BaseModel): + ticker: str # normalized to upper-case, trimmed + side: Side + quantity: float # fractional shares allowed + source: Source + +class RiskVerdict(BaseModel): + approved: bool + reasons: list[str] # hard failures; approved is False if non-empty + warnings: list[str] # soft flags, e.g. "AAPL would be 38% of the portfolio" + +class TradeResult(BaseModel): + ok: bool + trade_id: str | None + ticker: str + side: Side + quantity: float + price: float | None + error: str | None # a Risk reason or a Portfolio failure + +class WatchlistChange(BaseModel): + ticker: str + action: Literal["add", "remove"] + +class WatchlistResult(BaseModel): + ok: bool + ticker: str + action: str + error: str | None +``` + +## 3. Agents + +Every agent has a stable `agent_id` used in `trades.agent_id` and `agent_logs.agent_id`: +`portfolio`, `analyzer`, `risk`, `watchlist`, `orchestrator`. + +### 3.1 Portfolio Agent (`portfolio`) + +**Responsibility.** It is the only writer of cash, positions and trades. It fills validated market orders at the current cached price. It maintains average cost, cash balance and realized/unrealized P&L, and it records portfolio snapshots for the P&L chart. It never decides whether a trade is *allowed*. That is the Risk Agent's job. It only checks that the trade is *mechanically possible* inside its DB transaction. + +**Key inputs.** `TradeRequest` and a `RiskVerdict` (it refuses to run without an approved verdict). It also reads the price cache and the `positions` and `portfolio_state` rows. + +**Key outputs.** `TradeResult`, and a `PortfolioSummary` (cash, positions with current price, unrealized P&L and % change, total value, total P&L). It also writes `trades`, `positions`, `portfolio_state` and `portfolio_snapshots` rows. + +**Core methods.** + +| Method | Purpose | +|---|---| +| `execute_trade(req, verdict) -> TradeResult` | Atomic transaction: fill at the cached price, update cash, upsert or delete the position, append the trade, refresh `portfolio_state`, record a snapshot | +| `get_summary() -> PortfolioSummary` | Current portfolio with live prices | +| `get_position(ticker) -> Position \| None` | Used by Risk and Analyzer | +| `refresh_prices()` | Update `positions.current_price` and `portfolio_state` from the cache (called by the SSE/snapshot loop) | +| `record_snapshot()` | Insert a `portfolio_snapshots` row; called every 30 s and after each trade | +| `get_history(limit) -> list[Snapshot]` | Backs `GET /api/portfolio/history` | + +**Validation rules (mechanical, re-checked inside the transaction).** +- The price cache has a price for the ticker; otherwise the trade fails with "no price available". +- The verdict is approved, and the request quantity matches the one that was verified. +- The cash and quantity checks are re-run inside the transaction as a guard against races. The SQLite `CHECK` constraints are the last line of defense. +- A buy recomputes the average cost as `(old_qty*old_avg + qty*price) / (old_qty + qty)`. A sell leaves the average cost unchanged. A position whose quantity reaches ~0 (`< 1e-9`) is deleted. + +### 3.2 Analyzer Agent (`analyzer`) + +**Responsibility.** It turns raw portfolio and market data into compact, factual analysis: concentration, P&L attribution, cash drag and watchlist movers. It is deterministic and read-only. The Orchestrator injects its output into the LLM prompt as context, so the LLM reasons over computed numbers rather than doing arithmetic itself. Trade *suggestions* are the LLM's output. The Analyzer only supplies the facts and screening flags that support them. + +**Key inputs.** `PortfolioSummary`, watchlist tickers with latest and previous prices from the price cache, and optionally recent `trades`. + +**Key outputs.** An `AnalysisReport`: +```python +class AnalysisReport(BaseModel): + total_value: float + cash_pct: float + positions: list[PositionMetric] # weight_pct, unrealized_pnl, pnl_pct, day_change_pct + top_concentration: PositionMetric | None + herfindahl_index: float # 0–1 concentration score + best_performer: PositionMetric | None + worst_performer: PositionMetric | None + watchlist_movers: list[Mover] # largest absolute % moves among unheld tickers + flags: list[str] # e.g. "NVDA is 46% of portfolio", "82% cash" +``` + +**Core methods.** + +| Method | Purpose | +|---|---| +| `analyze(summary, watchlist_prices) -> AnalysisReport` | Full report used for chat context | +| `concentration(summary)` | Weights and Herfindahl index | +| `pnl_attribution(summary)` | Which positions drive total P&L | +| `movers(watchlist_prices, held)` | Notable unheld tickers | +| `to_prompt_context(report) -> str` | Compact text block for the LLM prompt | + +**Validation rules.** None. It is read-only and tolerates an empty portfolio (all-cash report) and missing prices (the ticker is skipped and flagged). + +### 3.3 Risk Agent (`risk`) + +**Responsibility.** It is the gatekeeper for every trade. It checks a proposed trade against the current portfolio and the configured limits, and returns an approve/reject verdict with human-readable reasons that the chat can relay verbatim. It is pure logic with read-only DB access and no side effects. + +**Key inputs.** `TradeRequest`, the current `PortfolioSummary` and the latest price. Limits come from a `RiskLimits` config object. + +**Key outputs.** `RiskVerdict` (`approved`, hard `reasons`, soft `warnings`). + +**Core methods.** + +| Method | Purpose | +|---|---| +| `validate_trade(req) -> RiskVerdict` | Runs every rule below and collects all failures rather than stopping at the first | +| `validate_batch(reqs) -> list[RiskVerdict]` | Validates LLM trades in order against a *simulated* running portfolio, so "buy 5 AAPL then sell 5 AAPL" and cumulative cash use are judged correctly | +| `projected_weight(req, summary) -> float` | Post-trade weight of the ticker | +| `limits() -> RiskLimits` | Defaults below, overridable through env or config | + +**Validation rules.** + +*Hard (reject):* +1. `quantity` is finite and `> 0`, and no smaller than `MIN_QUANTITY` (default `0.0001`). +2. `side` is `buy` or `sell`. +3. The ticker matches `^[A-Z]{1,5}(\.[A-Z])?$` and has a price in the cache (that is, it is known to the market data source). +4. **Buy:** `quantity * price <= cash_balance`. +5. **Sell:** a position exists and `quantity <= position.quantity`. +6. **Max order size:** the order value is at most `MAX_ORDER_PCT` of total portfolio value (default 100%, which is the cash limit, and configurable lower). +7. **Max position weight (buys only):** projected position value / total value is at most `MAX_POSITION_PCT` (default 50%). + +*Soft (approve with warning):* +- Projected weight above `WARN_POSITION_PCT` (default 25%). +- The buy leaves under 5% of total value in cash. +- A sell closes the position at a loss. + +Limits default to permissive values, so a new user with $10k can still make the demo trades. They are tunable without code changes. + +### 3.4 Watchlist Agent (`watchlist`) + +**Responsibility.** It owns all reads and writes of the `watchlist` table. It validates and normalizes tickers, keeps the set of tracked symbols in sync with the market data source, and records who added each ticker (`user`, `ai` or `system`). + +**Key inputs.** `WatchlistChange` items (from the REST API or from the Orchestrator's `watchlist_changes`), plus an `added_by` value. It also reads the market data source's list of supported tickers. + +**Key outputs.** `WatchlistResult`, and the current watchlist enriched with prices (`list[WatchlistEntry]`) for `GET /api/watchlist`. + +**Core methods.** + +| Method | Purpose | +|---|---| +| `add(ticker, added_by) -> WatchlistResult` | Validate, insert and register the ticker with the market data source | +| `remove(ticker) -> WatchlistResult` | Delete the row; unregister from market data if no position holds it | +| `apply_changes(changes, added_by) -> list[WatchlistResult]` | Apply a batch; a failure in one item doesn't block the others | +| `list_with_prices() -> list[WatchlistEntry]` | Watchlist plus latest price, previous price and direction | +| `tickers() -> list[str]` | Union used by the market data poller | + +**Validation rules.** +- The ticker is normalized to upper-case and matches the ticker regex from §3.3. +- **Add:** the ticker is not already on the list (idempotent: report `ok=True` with "already watching"), the list has at most `MAX_WATCHLIST` (default 50) entries, and the market data source can price it. The simulator falls back to a default seed price for unknown tickers. Massive rejects unknown symbols. +- **Remove:** removal is allowed even if a position exists. Held tickers keep streaming prices, because the market data layer takes the union of watchlist and positions. + +### 3.5 Chat Orchestrator Agent (`orchestrator`) + +**Responsibility.** It handles one `/api/chat` turn end to end. It gathers context (portfolio, Analyzer report, watchlist, history), makes the single structured-output LLM call, and routes the LLM's requested trades and watchlist changes to the right agents. It then merges the outcomes into one response, persists the exchange and returns JSON. It contains no trading logic of its own. + +**Key inputs.** The user's message. It also gets the `PortfolioSummary` from Portfolio, the `AnalysisReport` from Analyzer, `WatchlistEntry` items from Watchlist, and recent history from `chat_messages`. + +**Key outputs.** A `ChatResponse`: +```python +class ChatResponse(BaseModel): + message: str # LLM text, plus appended notes for any failures + executed_trades: list[TradeResult] # includes failed trades with error set + watchlist_changes: list[WatchlistResult] + warnings: list[str] # Risk soft warnings +``` +The LLM output schema is exactly the PLAN.md §9 schema (`message`, `trades`, `watchlist_changes`). + +**Core methods.** + +| Method | Purpose | +|---|---| +| `handle_message(text) -> ChatResponse` | The full pipeline below | +| `build_prompt(text, summary, report, watchlist, history) -> list[dict]` | System prompt ("FinAlly, an AI trading assistant") plus context and history | +| `call_llm(messages) -> LLMOutput` | LiteLLM call with structured output; mock path when `LLM_MOCK=true` | +| `route_trades(trades) -> list[TradeResult]` | Risk `validate_batch`, then Portfolio `execute_trade` for each approved trade | +| `route_watchlist(changes) -> list[WatchlistResult]` | Delegates to Watchlist | +| `persist(user_msg, response)` | Writes `chat_messages` | + +**Pipeline.** +1. Portfolio → `get_summary()`; Analyzer → `analyze()`; Watchlist → `list_with_prices()`; load the last N chat messages. +2. `build_prompt` → `call_llm` → parse and validate as `LLMOutput`. +3. Risk → `validate_batch(trades)` (trades are processed in the order the LLM gave them). +4. Portfolio → `execute_trade` for each approved trade. Rejected trades become `TradeResult(ok=False, error=reason)`. +5. Watchlist → `apply_changes(changes, added_by="ai")`. +6. Append any failures to `message` (e.g. "I couldn't buy 500 TSLA: insufficient cash") so the user sees them even if the LLM's text assumed success. +7. Persist to `chat_messages`, then return. + +**Validation rules.** +- LLM output must parse against the schema. On a malformed response, retry once, then return a graceful error message with no actions executed. +- At most `MAX_TRADES_PER_TURN` trades (default 10) and `MAX_WATCHLIST_CHANGES_PER_TURN` changes (default 10) are executed. Extras are dropped and reported. +- Trades from chat use `source="chat"` and `agent_id="portfolio"`. The Orchestrator never touches the DB tables for positions or cash directly. + +## 4. Manual Trade Path + +`POST /api/portfolio/trade` skips the Orchestrator and the LLM entirely: +`Risk.validate_trade(req[source="manual"])` → `Portfolio.execute_trade` → `TradeResult`. A rejection returns HTTP 400 with `reasons`. + +## 5. Audit Logging + +Each agent method that does meaningful work writes one `agent_logs` row through a small `AuditLog.record(agent_id, action, status, input, output, correlation_id)` helper. +- `correlation_id` is generated at the start of an API request and shared by every agent call in it. Filtering on it reconstructs a whole chat turn. +- Logged actions: `portfolio.execute_trade`, `risk.validate_trade`, `watchlist.add`, `watchlist.remove`, `analyzer.analyze`, `orchestrator.llm_call`, `orchestrator.handle_message`. +- Payloads are stored as JSON. Never log the API key. + +## 6. Proposed Backend Layout + +``` +backend/app/ +├── main.py # FastAPI app, routes, lifespan (starts market data + snapshot loop) +├── db.py # connection helper, lazy init from db/schema.sql, seed +├── agents/ +│ ├── __init__.py +│ ├── models.py # shared Pydantic types (§2) +│ ├── base.py # BaseAgent: agent_id, db handle, audit logging +│ ├── portfolio.py +│ ├── analyzer.py +│ ├── risk.py +│ ├── watchlist.py +│ └── orchestrator.py +└── market/ # existing +``` + +## 7. Deviations from PLAN.md + +These are deliberate and need sign-off: + +| PLAN.md | This design | Reason | +|---|---|---| +| `users_profile` (cash) | `portfolio_state` (cash, total value, P&L) | Requested; caches the aggregates the header needs | +| `chat_messages`: one row per message with a `role` | One row per exchange: `user_message` + `ai_response` | Requested; simpler to render and to log actions against | +| `positions` has no price | `positions.current_price` denormalized | Requested; refreshed by `Portfolio.refresh_prices()` | +| Single LLM agent | Five agents, one LLM call | Requested | +| `trades` has no source info | `agent_id`, `source` columns | Auditing | +| New `agent_logs`, `watchlist.added_by` | Added | Auditing | + +`user_id` (default `"default"`) is kept on every table, as PLAN.md §7 requires, so the schema stays multi-user-ready. + +## 8. Open Questions + +1. Should the Analyzer also expose its own LLM-backed `/api/analyze` endpoint for on-demand deep analysis, or is context injection enough? (I assumed enough.) +2. Are the default Risk limits acceptable (50% max position, 25% warn)? They are permissive on purpose, to avoid blocking the demo. +3. Should a Risk rejection abort the whole chat batch, or just skip the rejected trade? (I assumed skip, and the rest execute.) From 8c857d6fb5578b10b1606edba08f8b6272fa394d Mon Sep 17 00:00:00 2001 From: Paul Orlando Date: Sat, 19 Sep 2026 21:55:21 -0400 Subject: [PATCH 2/6] feat: Complete Next.js frontend with real-time chat and trading UI - Watchlist with live price updates via SSE - Portfolio heatmap and P&L charts - Trade execution form - AI chat panel with model integration - Dark theme (Bloomberg-inspired) - All API endpoints connected - Mock data for development Also gitignore the runtime SQLite database (keep db/.gitkeep), per PLAN.md. Co-Authored-By: Claude Sonnet 5 --- .gitignore | 4 + db/.gitkeep | 0 frontend/.env.example | 8 + frontend/.gitignore | 6 + frontend/app/layout.tsx | 18 + frontend/app/page.tsx | 5 + frontend/components/ChatPanel.tsx | 142 ++ frontend/components/Dashboard.tsx | 213 +++ frontend/components/Header.tsx | 68 + frontend/components/InsightsBar.tsx | 46 + frontend/components/MainChart.tsx | 78 + frontend/components/Panel.tsx | 28 + frontend/components/PnLChart.tsx | 70 + frontend/components/PortfolioHeatmap.tsx | 73 + frontend/components/PositionsTable.tsx | 62 + frontend/components/Sparkline.tsx | 35 + frontend/components/Toasts.tsx | 25 + frontend/components/TradeForm.tsx | 103 ++ frontend/components/Watchlist.tsx | 150 ++ frontend/hooks/useChat.ts | 51 + frontend/hooks/useFlash.ts | 24 + frontend/hooks/usePriceStream.ts | 93 + frontend/hooks/useResource.ts | 42 + frontend/hooks/useToasts.ts | 31 + frontend/next.config.mjs | 20 + frontend/package-lock.json | 2011 ++++++++++++++++++++++ frontend/package.json | 26 + frontend/postcss.config.mjs | 5 + frontend/public/favicon.svg | 1 + frontend/styles/globals.css | 65 + frontend/tailwind.config.ts | 35 + frontend/tsconfig.json | 21 + frontend/utils/api.ts | 102 ++ frontend/utils/chart.ts | 30 + frontend/utils/errors.ts | 10 + frontend/utils/format.ts | 30 + frontend/utils/mock.ts | 361 ++++ frontend/utils/portfolio.ts | 30 + frontend/utils/types.ts | 135 ++ 39 files changed, 4257 insertions(+) create mode 100644 db/.gitkeep create mode 100644 frontend/.env.example create mode 100644 frontend/.gitignore create mode 100644 frontend/app/layout.tsx create mode 100644 frontend/app/page.tsx create mode 100644 frontend/components/ChatPanel.tsx create mode 100644 frontend/components/Dashboard.tsx create mode 100644 frontend/components/Header.tsx create mode 100644 frontend/components/InsightsBar.tsx create mode 100644 frontend/components/MainChart.tsx create mode 100644 frontend/components/Panel.tsx create mode 100644 frontend/components/PnLChart.tsx create mode 100644 frontend/components/PortfolioHeatmap.tsx create mode 100644 frontend/components/PositionsTable.tsx create mode 100644 frontend/components/Sparkline.tsx create mode 100644 frontend/components/Toasts.tsx create mode 100644 frontend/components/TradeForm.tsx create mode 100644 frontend/components/Watchlist.tsx create mode 100644 frontend/hooks/useChat.ts create mode 100644 frontend/hooks/useFlash.ts create mode 100644 frontend/hooks/usePriceStream.ts create mode 100644 frontend/hooks/useResource.ts create mode 100644 frontend/hooks/useToasts.ts create mode 100644 frontend/next.config.mjs create mode 100644 frontend/package-lock.json create mode 100644 frontend/package.json create mode 100644 frontend/postcss.config.mjs create mode 100644 frontend/public/favicon.svg create mode 100644 frontend/styles/globals.css create mode 100644 frontend/tailwind.config.ts create mode 100644 frontend/tsconfig.json create mode 100644 frontend/utils/api.ts create mode 100644 frontend/utils/chart.ts create mode 100644 frontend/utils/errors.ts create mode 100644 frontend/utils/format.ts create mode 100644 frontend/utils/mock.ts create mode 100644 frontend/utils/portfolio.ts create mode 100644 frontend/utils/types.ts diff --git a/.gitignore b/.gitignore index b7faf403d..6cc60bbb0 100644 --- a/.gitignore +++ b/.gitignore @@ -205,3 +205,7 @@ cython_debug/ marimo/_static/ marimo/_lsp/ __marimo__/ + +# FinAlly runtime database (volume-mounted; only the directory is tracked) +db/* +!db/.gitkeep diff --git a/db/.gitkeep b/db/.gitkeep new file mode 100644 index 000000000..e69de29bb diff --git a/frontend/.env.example b/frontend/.env.example new file mode 100644 index 000000000..ef0a8da5e --- /dev/null +++ b/frontend/.env.example @@ -0,0 +1,8 @@ +# Serve the UI with built-in mock data (no backend needed). You can also open the app with ?mock=1. +NEXT_PUBLIC_USE_MOCK=false + +# Only needed if the API is on a different origin than the UI. Leave empty for same-origin (/api/*). +NEXT_PUBLIC_API_BASE= + +# Dev proxy target for `next dev` (server-side only). +BACKEND_URL=http://localhost:8000 diff --git a/frontend/.gitignore b/frontend/.gitignore new file mode 100644 index 000000000..ab8c0535a --- /dev/null +++ b/frontend/.gitignore @@ -0,0 +1,6 @@ +node_modules/ +.next/ +out/ +next-env.d.ts +*.tsbuildinfo +.env.local diff --git a/frontend/app/layout.tsx b/frontend/app/layout.tsx new file mode 100644 index 000000000..0a4073993 --- /dev/null +++ b/frontend/app/layout.tsx @@ -0,0 +1,18 @@ +import type { Metadata, Viewport } from "next"; +import "../styles/globals.css"; + +export const metadata: Metadata = { + title: "FinAlly — AI Trading Workstation", + description: "Live market data, a simulated portfolio, and an AI copilot that can trade for you.", + icons: { icon: "/favicon.svg" }, +}; + +export const viewport: Viewport = { themeColor: "#0d1117" }; + +export default function RootLayout({ children }: { children: React.ReactNode }) { + return ( + + {children} + + ); +} diff --git a/frontend/app/page.tsx b/frontend/app/page.tsx new file mode 100644 index 000000000..d02b8a309 --- /dev/null +++ b/frontend/app/page.tsx @@ -0,0 +1,5 @@ +import { Dashboard } from "@/components/Dashboard"; + +export default function Home() { + return ; +} diff --git a/frontend/components/ChatPanel.tsx b/frontend/components/ChatPanel.tsx new file mode 100644 index 000000000..2a875cecb --- /dev/null +++ b/frontend/components/ChatPanel.tsx @@ -0,0 +1,142 @@ +"use client"; + +import { useEffect, useRef, useState } from "react"; +import { fmtQty, fmtUsd } from "@/utils/format"; +import type { ChatResponse } from "@/utils/types"; + +export interface ChatMessage { + id: number; + role: "user" | "assistant"; + content: string; + /** Trades and watchlist changes the AI executed, shown inline as confirmations. */ + actions?: Pick; + isError?: boolean; +} + +interface ChatPanelProps { + messages: ChatMessage[]; + loading: boolean; + onSend: (text: string) => Promise; + className?: string; +} + +const SUGGESTIONS = ["How is my portfolio doing?", "Buy 5 AAPL", "Add PYPL to my watchlist"]; + +/** Docked AI assistant: history, input, loading indicator, and inline trade confirmations. */ +export function ChatPanel({ messages, loading, onSend, className = "" }: ChatPanelProps) { + const [text, setText] = useState(""); + const endRef = useRef(null); + + // Keep the newest message (or the typing indicator) in view. + useEffect(() => { + endRef.current?.scrollIntoView({ behavior: "smooth", block: "end" }); + }, [messages, loading]); + + function submit(value = text) { + const v = value.trim(); + if (!v || loading) return; + setText(""); + void onSend(v); + } + + return ( + + ); +} + +function Message({ message: m }: { message: ChatMessage }) { + const isUser = m.role === "user"; + const trades = m.actions?.executed_trades ?? []; + const changes = m.actions?.watchlist_changes ?? []; + + return ( +
+
+ {m.content} +
+ + {trades.map((t, i) => ( +
+ {t.ok + ? `✓ ${t.side === "buy" ? "Bought" : "Sold"} ${fmtQty(t.quantity)} ${t.ticker} @ ${fmtUsd(t.price)}` + : `✗ ${t.side} ${fmtQty(t.quantity)} ${t.ticker} failed`} +
+ ))} + {changes.map((c, i) => ( +
+ {c.ok ? `✓ ${c.action === "add" ? "Added" : "Removed"} ${c.ticker} ${c.action === "add" ? "to" : "from"} watchlist` : `✗ ${c.action} ${c.ticker} failed`} +
+ ))} +
+ ); +} diff --git a/frontend/components/Dashboard.tsx b/frontend/components/Dashboard.tsx new file mode 100644 index 000000000..2b4976563 --- /dev/null +++ b/frontend/components/Dashboard.tsx @@ -0,0 +1,213 @@ +"use client"; + +import { useCallback, useEffect, useMemo, useState } from "react"; +import { useChat } from "@/hooks/useChat"; +import { usePriceStream } from "@/hooks/usePriceStream"; +import { useResource } from "@/hooks/useResource"; +import { useToasts } from "@/hooks/useToasts"; +import { api, isMock } from "@/utils/api"; +import { fmtQty, fmtUsd } from "@/utils/format"; +import { revalue } from "@/utils/portfolio"; +import type { ChatResponse, TradeOrder } from "@/utils/types"; +import { ChatPanel } from "./ChatPanel"; +import { Header } from "./Header"; +import { InsightsBar } from "./InsightsBar"; +import { MainChart } from "./MainChart"; +import { PnLChart } from "./PnLChart"; +import { PortfolioHeatmap } from "./PortfolioHeatmap"; +import { PositionsTable } from "./PositionsTable"; +import { Toasts } from "./Toasts"; +import { TradeForm } from "./TradeForm"; +import { Watchlist } from "./Watchlist"; + +/** Slow background refresh; live prices come from the SSE stream, so these are just re-syncs. */ +const POLL_MS = 30_000; + +/** + * The page layout: owns the data hooks and wires every panel together. + * + * Header + * ┌───────────── main ─────────────┬── chat ──┐ + * │ Watchlist MainChart │ │ + * │ Heatmap PnLChart │ AI panel │ + * │ Positions TradeForm │ │ + * └────────────────────────────────┴──────────┘ + */ +export function Dashboard() { + const stream = usePriceStream(); + const portfolioRes = useResource(api.portfolio, POLL_MS); + const historyRes = useResource(api.history, POLL_MS); + const watchlistRes = useResource(api.watchlist, POLL_MS * 2); + const { toasts, push, dismiss } = useToasts(); + + const [selected, setSelected] = useState(null); + const [chatOpen, setChatOpen] = useState(true); + const [insightsKey, setInsightsKey] = useState(0); + // isMock() reads the URL, so resolve it after mount to keep server and client markup identical. + const [mock, setMock] = useState(false); + useEffect(() => setMock(isMock()), []); + + const { refresh: refreshPortfolio } = portfolioRes; + const { refresh: refreshHistory } = historyRes; + const { refresh: refreshWatchlist } = watchlistRes; + + // Value the last fetched portfolio at streamed prices so totals tick live. + const portfolio = useMemo( + () => (portfolioRes.data ? revalue(portfolioRes.data, stream.prices) : null), + [portfolioRes.data, stream.prices], + ); + + // Select the first watched ticker once the watchlist loads (and if the selection is removed). + const watched = watchlistRes.data; + useEffect(() => { + if (watched?.length && (!selected || !watched.some((w) => w.ticker === selected))) { + const held = portfolioRes.data?.positions.some((p) => p.ticker === selected); + if (!held) setSelected(watched[0].ticker); + } + }, [watched, selected, portfolioRes.data]); + + const refreshAll = useCallback(async () => { + await Promise.all([refreshPortfolio(), refreshHistory(), refreshWatchlist()]); + setInsightsKey((k) => k + 1); + }, [refreshPortfolio, refreshHistory, refreshWatchlist]); + + // ------------------------------------------------------------------ actions + + const handleTrade = useCallback( + async (order: TradeOrder): Promise => { + try { + const { trade } = await api.trade(order); + push( + "success", + `${trade.side === "buy" ? "Bought" : "Sold"} ${fmtQty(trade.quantity)} ${trade.ticker} @ ${fmtUsd(trade.price)}`, + ); + trade.warnings.forEach((w) => push("info", w)); + await refreshAll(); + return true; + } catch (e) { + push("error", e instanceof Error ? e.message : "Trade failed"); + return false; + } + }, + [push, refreshAll], + ); + + const handleAdd = useCallback( + async (ticker: string) => { + try { + await api.addTicker(ticker); + await refreshWatchlist(); + } catch (e) { + push("error", e instanceof Error ? e.message : "Could not add ticker"); + throw e; // lets the form keep the input so the user can correct it + } + }, + [push, refreshWatchlist], + ); + + const handleRemove = useCallback( + async (ticker: string) => { + try { + await api.removeTicker(ticker); + await refreshWatchlist(); + } catch (e) { + push("error", e instanceof Error ? e.message : "Could not remove ticker"); + } + }, + [push, refreshWatchlist], + ); + + const handleChatResponse = useCallback( + (r: ChatResponse) => { + if (r.executed_trades.some((t) => t.ok) || r.watchlist_changes.some((c) => c.ok)) void refreshAll(); + }, + [refreshAll], + ); + const chat = useChat(handleChatResponse); + + const backendDown = portfolioRes.error && !portfolioRes.data; + + return ( +
+
setChatOpen((o) => !o)} /> + +
+
+ {backendDown && ( +
+ {portfolioRes.error} + + + Tip: add ?mock=1 to the URL to preview with mock data. + +
+ )} + +
+
+ +
+
+ +
+ +
+ +
+
+ +
+ +
+ +
+
+ stream.prices[t]?.price} onTrade={handleTrade} /> +
+
+ + +
+ + {chatOpen && ( + + )} +
+ + +
+ ); +} diff --git a/frontend/components/Header.tsx b/frontend/components/Header.tsx new file mode 100644 index 000000000..fef4dff52 --- /dev/null +++ b/frontend/components/Header.tsx @@ -0,0 +1,68 @@ +import { fmtPct, fmtSignedUsd, fmtUsd, signClass } from "@/utils/format"; +import type { ConnectionStatus, Portfolio } from "@/utils/types"; + +const STATUS: Record = { + connected: { dot: "bg-up", label: "Live", pulse: false }, + reconnecting: { dot: "bg-accent", label: "Reconnecting", pulse: true }, + disconnected: { dot: "bg-down", label: "Disconnected", pulse: false }, +}; + +interface HeaderProps { + portfolio: Portfolio | null; + status: ConnectionStatus; + mock: boolean; + chatOpen: boolean; + onToggleChat: () => void; +} + +export function Header({ portfolio, status, mock, chatOpen, onToggleChat }: HeaderProps) { + const s = STATUS[status]; + const pnlPct = portfolio && portfolio.starting_cash ? (portfolio.total_pnl / portfolio.starting_cash) * 100 : null; + + return ( +
+
+ FinAlly + AI Trading Workstation + {mock && ( + + mock data + + )} +
+ +
+ + + +
+ +
+
+ + {s.label} +
+ +
+
+ ); +} + +function Stat({ label, value, big, className = "" }: { label: string; value: string; big?: boolean; className?: string }) { + return ( +
+
{label}
+
{value}
+
+ ); +} diff --git a/frontend/components/InsightsBar.tsx b/frontend/components/InsightsBar.tsx new file mode 100644 index 000000000..ede83b794 --- /dev/null +++ b/frontend/components/InsightsBar.tsx @@ -0,0 +1,46 @@ +"use client"; + +import { useEffect } from "react"; +import { useResource } from "@/hooks/useResource"; +import { api } from "@/utils/api"; +import { fmtPct } from "@/utils/format"; + +const LEVEL_STYLE = { + low: "border-up/50 text-up", + moderate: "border-accent/60 text-accent", + high: "border-down/60 text-down", +} as const; + +/** + * One-line risk summary from GET /api/risk-assessment (Risk + Analyzer agents). + * `refreshKey` changes after trades so the bar re-fetches; it also polls every 30s. + */ +export function InsightsBar({ refreshKey }: { refreshKey: number }) { + const { data, error, refresh } = useResource(api.riskAssessment, 30_000); + + useEffect(() => { + if (refreshKey > 0) void refresh(); + }, [refreshKey, refresh]); + + if (error && !data) return null; // optional widget: stay quiet if the endpoint is unavailable + if (!data) return null; + + return ( +
+ + {data.level} risk + + + Cash {fmtPct(data.cash_pct, 1).replace("+", "")} + + + Concentration {data.herfindahl_index.toFixed(2)} + + {data.flags.map((f) => ( + + ⚠ {f} + + ))} +
+ ); +} diff --git a/frontend/components/MainChart.tsx b/frontend/components/MainChart.tsx new file mode 100644 index 000000000..faa187010 --- /dev/null +++ b/frontend/components/MainChart.tsx @@ -0,0 +1,78 @@ +"use client"; + +import { ColorType, createChart, type IChartApi, type ISeriesApi } from "lightweight-charts"; +import { useEffect, useRef } from "react"; +import { CHART_COLORS, toSeriesData } from "@/utils/chart"; +import { fmtPct, fmtUsd, signClass } from "@/utils/format"; +import type { PricePoint } from "@/utils/types"; +import { Panel } from "./Panel"; + +interface MainChartProps { + ticker: string | null; + points: PricePoint[]; + openPrice: number | undefined; +} + +/** Larger canvas chart (Lightweight Charts) of the selected ticker, built from the SSE stream. */ +export function MainChart({ ticker, points, openPrice }: MainChartProps) { + const containerRef = useRef(null); + const chartRef = useRef(null); + const seriesRef = useRef | null>(null); + const shownTicker = useRef(null); + + // Create the chart once. autoSize keeps it fitted to its container. + useEffect(() => { + if (!containerRef.current) return; + const chart = createChart(containerRef.current, { + autoSize: true, + layout: { background: { type: ColorType.Solid, color: "transparent" }, textColor: CHART_COLORS.text }, + grid: { vertLines: { color: CHART_COLORS.grid }, horzLines: { color: CHART_COLORS.grid } }, + rightPriceScale: { borderColor: CHART_COLORS.border }, + timeScale: { borderColor: CHART_COLORS.border, timeVisible: true, secondsVisible: true }, + }); + seriesRef.current = chart.addAreaSeries({ + lineColor: CHART_COLORS.primary, + topColor: "rgba(32,157,215,0.35)", + bottomColor: "rgba(32,157,215,0)", + lineWidth: 2, + }); + chartRef.current = chart; + return () => { + chart.remove(); + chartRef.current = null; + seriesRef.current = null; + }; + }, []); + + // Push data on every tick; only re-fit the view when the user switches ticker (so zoom/pan sticks). + useEffect(() => { + if (!seriesRef.current || !chartRef.current) return; + seriesRef.current.setData(toSeriesData(points.map((p) => ({ t: p.t, v: p.p })))); + if (shownTicker.current !== ticker && points.length) { + chartRef.current.timeScale().fitContent(); + shownTicker.current = ticker; + } + }, [points, ticker]); + + const last = points[points.length - 1]?.p; + const change = last != null && openPrice ? ((last - openPrice) / openPrice) * 100 : null; + + return ( + + {fmtUsd(last)} {fmtPct(change)} + + } + bodyClassName="relative" + > +
+ {(!ticker || points.length < 2) && ( +
+ {ticker ? "Waiting for price data…" : "Select a ticker from the watchlist"} +
+ )} + + ); +} diff --git a/frontend/components/Panel.tsx b/frontend/components/Panel.tsx new file mode 100644 index 000000000..4d8dc63a2 --- /dev/null +++ b/frontend/components/Panel.tsx @@ -0,0 +1,28 @@ +import type { ReactNode } from "react"; + +interface PanelProps { + title: string; + /** Right-aligned header content (counts, controls). */ + right?: ReactNode; + className?: string; + bodyClassName?: string; + children: ReactNode; +} + +/** The standard bordered card every dashboard section sits in. */ +export function Panel({ title, right, className = "", bodyClassName = "", children }: PanelProps) { + return ( +
+
+

{title}

+ {right} +
+
{children}
+
+ ); +} + +/** Centered placeholder for loading / empty states inside a Panel. */ +export function PanelMessage({ children }: { children: ReactNode }) { + return
{children}
; +} diff --git a/frontend/components/PnLChart.tsx b/frontend/components/PnLChart.tsx new file mode 100644 index 000000000..e729e5e5f --- /dev/null +++ b/frontend/components/PnLChart.tsx @@ -0,0 +1,70 @@ +"use client"; + +import { ColorType, createChart, type IChartApi, type ISeriesApi } from "lightweight-charts"; +import { useEffect, useRef } from "react"; +import { CHART_COLORS, toSeriesData } from "@/utils/chart"; +import { fmtSignedUsd, signClass } from "@/utils/format"; +import type { Snapshot } from "@/utils/types"; +import { Panel } from "./Panel"; + +interface PnLChartProps { + snapshots: Snapshot[] | null; + loading: boolean; + error: string | null; + startingCash: number | undefined; +} + +/** Line chart of total portfolio value over time, from the backend's portfolio_snapshots. */ +export function PnLChart({ snapshots, loading, error, startingCash }: PnLChartProps) { + const containerRef = useRef(null); + const chartRef = useRef(null); + const seriesRef = useRef | null>(null); + const fitted = useRef(false); + + useEffect(() => { + if (!containerRef.current) return; + const chart = createChart(containerRef.current, { + autoSize: true, + layout: { background: { type: ColorType.Solid, color: "transparent" }, textColor: CHART_COLORS.text }, + grid: { vertLines: { color: CHART_COLORS.grid }, horzLines: { color: CHART_COLORS.grid } }, + rightPriceScale: { borderColor: CHART_COLORS.border }, + timeScale: { borderColor: CHART_COLORS.border, timeVisible: true, secondsVisible: false }, + }); + seriesRef.current = chart.addLineSeries({ color: CHART_COLORS.accent, lineWidth: 2 }); + chartRef.current = chart; + return () => { + chart.remove(); + chartRef.current = null; + seriesRef.current = null; + }; + }, []); + + useEffect(() => { + if (!seriesRef.current || !chartRef.current || !snapshots) return; + seriesRef.current.setData( + toSeriesData(snapshots.map((s) => ({ t: Date.parse(s.recorded_at) / 1000, v: s.total_value }))), + ); + if (!fitted.current && snapshots.length) { + chartRef.current.timeScale().fitContent(); + fitted.current = true; + } + }, [snapshots]); + + const latest = snapshots?.[snapshots.length - 1]; + const pnl = latest && startingCash != null ? latest.total_value - startingCash : null; + + return ( + {fmtSignedUsd(pnl)}} + bodyClassName="relative" + > +
+ {(loading || !snapshots?.length) && ( +
+ {loading ? "Loading history…" : error ?? "No history yet — snapshots are recorded every 30s"} +
+ )} + + ); +} diff --git a/frontend/components/PortfolioHeatmap.tsx b/frontend/components/PortfolioHeatmap.tsx new file mode 100644 index 000000000..81f2b893a --- /dev/null +++ b/frontend/components/PortfolioHeatmap.tsx @@ -0,0 +1,73 @@ +"use client"; + +import { ResponsiveContainer, Treemap } from "recharts"; +import { fmtPct } from "@/utils/format"; +import type { Portfolio } from "@/utils/types"; +import { Panel, PanelMessage } from "./Panel"; + +/** P&L % at which the colour is fully saturated. */ +const SATURATION_PCT = 5; +const NEUTRAL = [33, 38, 45]; // #21262d +const UP = [63, 185, 80]; // #3fb950 +const DOWN = [248, 81, 73]; // #f85149 + +/** Blend from neutral toward green (profit) or red (loss) by |pnl%|, saturating at +/-5%. */ +function pnlColor(pnlPct: number): string { + const t = Math.min(Math.abs(pnlPct) / SATURATION_PCT, 1); + const target = pnlPct >= 0 ? UP : DOWN; + const [r, g, b] = NEUTRAL.map((n, i) => Math.round(n + (target[i] - n) * t * 0.85)); + return `rgb(${r},${g},${b})`; +} + +interface CellProps { + x?: number; + y?: number; + width?: number; + height?: number; + name?: string; + pnl?: number; + depth?: number; +} + +/** One treemap rectangle: sized by the layout, coloured by P&L, labelled if there is room. */ +function HeatCell({ x = 0, y = 0, width = 0, height = 0, name, pnl = 0, depth }: CellProps) { + if (depth === 0) return null; // the treemap's invisible root + return ( + + + {width > 46 && height > 34 && ( + <> + + {name} + + + {fmtPct(pnl)} + + + )} + + ); +} + +/** Treemap of positions: area = portfolio weight (market value), colour = unrealized P&L %. */ +export function PortfolioHeatmap({ portfolio, loading }: { portfolio: Portfolio | null; loading: boolean }) { + const data = (portfolio?.positions ?? []) + .filter((p) => p.market_value > 0) + .map((p) => ({ name: p.ticker, size: p.market_value, pnl: p.pnl_percent })); + + return ( + size = weight · colour = P&L} bodyClassName="relative"> + {loading ? ( + Loading portfolio… + ) : !data.length ? ( + No positions yet. Place a trade to see your portfolio here. + ) : ( +
+ + } /> + +
+ )} + + ); +} diff --git a/frontend/components/PositionsTable.tsx b/frontend/components/PositionsTable.tsx new file mode 100644 index 000000000..692afcf32 --- /dev/null +++ b/frontend/components/PositionsTable.tsx @@ -0,0 +1,62 @@ +import { fmtPct, fmtQty, fmtSignedUsd, fmtUsd, signClass } from "@/utils/format"; +import type { Portfolio } from "@/utils/types"; +import { Panel, PanelMessage } from "./Panel"; + +interface PositionsTableProps { + portfolio: Portfolio | null; + loading: boolean; + error: string | null; + selected: string | null; + onSelect: (ticker: string) => void; +} + +export function PositionsTable({ portfolio, loading, error, selected, onSelect }: PositionsTableProps) { + const positions = [...(portfolio?.positions ?? [])].sort((a, b) => b.market_value - a.market_value); + + return ( + {positions.length} open} + bodyClassName="overflow-auto" + > + {loading ? ( + Loading positions… + ) : error && !portfolio ? ( + + {error} + + ) : !positions.length ? ( + No open positions. + ) : ( + + + + + + + + + + + + + {positions.map((p) => ( + onSelect(p.ticker)} + className={`cursor-pointer border-b border-line/40 hover:bg-raised ${p.ticker === selected ? "bg-raised" : ""}`} + > + + + + + + + + ))} + +
TickerQtyAvg costPriceUnrealized P&LChg %
{p.ticker}{fmtQty(p.quantity)}{fmtUsd(p.avg_cost)}{fmtUsd(p.current_price)}{fmtSignedUsd(p.unrealized_pnl)}{fmtPct(p.pnl_percent)}
+ )} + + ); +} diff --git a/frontend/components/Sparkline.tsx b/frontend/components/Sparkline.tsx new file mode 100644 index 000000000..f47dc8b6e --- /dev/null +++ b/frontend/components/Sparkline.tsx @@ -0,0 +1,35 @@ +import { memo } from "react"; +import type { PricePoint } from "@/utils/types"; + +interface SparklineProps { + points: PricePoint[]; + width?: number; + height?: number; +} + +/** Tiny dependency-free SVG line. Green if the series is up since its first point, red if down. */ +export const Sparkline = memo(function Sparkline({ points, width = 84, height = 24 }: SparklineProps) { + if (points.length < 2) { + // Fills in progressively as ticks arrive (PLAN.md section 2). + return
···
; + } + const values = points.map((p) => p.p); + const min = Math.min(...values); + const max = Math.max(...values); + const span = max - min || 1; + const pad = 2; + const path = values + .map((v, i) => { + const x = (i / (values.length - 1)) * (width - pad * 2) + pad; + const y = height - pad - ((v - min) / span) * (height - pad * 2); + return `${i === 0 ? "M" : "L"}${x.toFixed(1)},${y.toFixed(1)}`; + }) + .join(" "); + const color = values[values.length - 1] >= values[0] ? "#3fb950" : "#f85149"; + + return ( + + + + ); +}); diff --git a/frontend/components/Toasts.tsx b/frontend/components/Toasts.tsx new file mode 100644 index 000000000..fd0e905c1 --- /dev/null +++ b/frontend/components/Toasts.tsx @@ -0,0 +1,25 @@ +import type { Toast } from "@/hooks/useToasts"; + +const STYLES: Record = { + success: "border-up/60 bg-up/10 text-up", + error: "border-down/60 bg-down/10 text-down", + info: "border-primary/60 bg-primary/10 text-primary", +}; + +/** Stacked, click-to-dismiss notifications pinned to the bottom-left of the viewport. */ +export function Toasts({ toasts, onDismiss }: { toasts: Toast[]; onDismiss: (id: number) => void }) { + return ( +
+ {toasts.map((t) => ( + + ))} +
+ ); +} diff --git a/frontend/components/TradeForm.tsx b/frontend/components/TradeForm.tsx new file mode 100644 index 000000000..efd3a73fd --- /dev/null +++ b/frontend/components/TradeForm.tsx @@ -0,0 +1,103 @@ +"use client"; + +import { useEffect, useState } from "react"; +import { fmtUsd, TICKER_RE } from "@/utils/format"; +import type { Side, TradeOrder } from "@/utils/types"; +import { Panel } from "./Panel"; + +interface TradeFormProps { + /** Ticker selected elsewhere (watchlist / positions); prefills the field. */ + selectedTicker: string | null; + /** Latest price for a ticker, for the cost estimate. */ + priceOf: (ticker: string) => number | undefined; + /** Resolves when the trade finished; the parent shows the success/error toast. */ + onTrade: (order: TradeOrder) => Promise; +} + +/** Market-order form: ticker + quantity + Buy / Sell. No confirmation dialog (PLAN.md section 2). */ +export function TradeForm({ selectedTicker, priceOf, onTrade }: TradeFormProps) { + const [ticker, setTicker] = useState(""); + const [quantity, setQuantity] = useState(""); + const [pending, setPending] = useState(null); + const [formError, setFormError] = useState(null); + + useEffect(() => { + if (selectedTicker) setTicker(selectedTicker); + }, [selectedTicker]); + + const qty = Number(quantity); + const price = priceOf(ticker.trim().toUpperCase()); + const estimate = price && qty > 0 ? price * qty : null; + + async function submit(side: Side) { + const t = ticker.trim().toUpperCase(); + if (!TICKER_RE.test(t)) return setFormError("Enter a valid ticker, e.g. AAPL"); + if (!(qty > 0)) return setFormError("Quantity must be greater than zero"); + setFormError(null); + setPending(side); + try { + const ok = await onTrade({ ticker: t, side, quantity: qty }); + if (ok) setQuantity(""); // keep the ticker so the user can trade it again quickly + } finally { + setPending(null); + } + } + + const busy = pending !== null; + + return ( + +
e.preventDefault()} className="flex flex-col gap-2"> +
+ + +
+ +

+ {price ? `Market ${fmtUsd(price)}` : ""} + {estimate ? ` · est. ${fmtUsd(estimate)}` : ""} +

+ {formError &&

{formError}

} + +
+ + +
+
+ + ); +} diff --git a/frontend/components/Watchlist.tsx b/frontend/components/Watchlist.tsx new file mode 100644 index 000000000..2c3ae21f1 --- /dev/null +++ b/frontend/components/Watchlist.tsx @@ -0,0 +1,150 @@ +"use client"; + +import { memo, useState } from "react"; +import { useFlash } from "@/hooks/useFlash"; +import { fmtPct, fmtUsd, signClass, TICKER_RE } from "@/utils/format"; +import type { PricePoint, PriceTick, WatchlistEntry } from "@/utils/types"; +import { Panel, PanelMessage } from "./Panel"; +import { Sparkline } from "./Sparkline"; + +interface WatchlistProps { + entries: WatchlistEntry[] | null; + loading: boolean; + error: string | null; + prices: Record; + history: Record; + open: Record; + selected: string | null; + onSelect: (ticker: string) => void; + onAdd: (ticker: string) => Promise; + onRemove: (ticker: string) => Promise; +} + +export function Watchlist({ entries, loading, error, prices, history, open, selected, onSelect, onAdd, onRemove }: WatchlistProps) { + const [input, setInput] = useState(""); + const [adding, setAdding] = useState(false); + const [inputError, setInputError] = useState(null); + + async function submit(e: React.FormEvent) { + e.preventDefault(); + const ticker = input.trim().toUpperCase(); + if (!TICKER_RE.test(ticker)) return setInputError("Enter a ticker like AAPL"); + setInputError(null); + setAdding(true); + try { + await onAdd(ticker); + setInput(""); + } finally { + setAdding(false); + } + } + + return ( + {entries?.length ?? 0} tickers} bodyClassName="flex flex-col"> +
+ setInput(e.target.value.toUpperCase())} + placeholder="Add ticker…" + maxLength={7} + aria-label="Add ticker to watchlist" + className="min-w-0 flex-1 rounded border border-line bg-canvas px-2 py-1 text-xs uppercase outline-none focus:border-primary" + /> + +
+ {inputError &&

{inputError}

} + + {loading ? ( + Loading watchlist… + ) : error && !entries ? ( + + {error} + + ) : !entries?.length ? ( + Nothing watched yet. Add a ticker above. + ) : ( +
+ + + + + + + + + + + {entries.map((entry) => ( + + ))} + +
SymbolPrice + Chg % + Trend +
+
+ )} + + ); +} + +interface WatchRowProps { + entry: WatchlistEntry; + tick: PriceTick | undefined; + points: PricePoint[] | undefined; + openPrice: number | undefined; + selected: boolean; + onSelect: (ticker: string) => void; + onRemove: (ticker: string) => Promise; +} + +const WatchRow = memo(function WatchRow({ entry, tick, points, openPrice, selected, onSelect, onRemove }: WatchRowProps) { + const price = tick?.price ?? entry.price; + const { className: flash, flashKey } = useFlash(price); + const change = price != null && openPrice ? ((price - openPrice) / openPrice) * 100 : null; + + return ( + onSelect(entry.ticker)} + className={`cursor-pointer border-b border-line/40 hover:bg-raised ${selected ? "bg-raised shadow-[inset_2px_0_0_#ecad0a]" : ""}`} + > + {entry.ticker} + {/* Keyed span: the key changes on each flash so the 500ms animation restarts every tick. */} + + + {fmtUsd(price)} + + + {fmtPct(change)} + + + + + + + + ); +}); diff --git a/frontend/hooks/useChat.ts b/frontend/hooks/useChat.ts new file mode 100644 index 000000000..1aae9a5cb --- /dev/null +++ b/frontend/hooks/useChat.ts @@ -0,0 +1,51 @@ +"use client"; + +import { useCallback, useRef, useState } from "react"; +import type { ChatMessage } from "@/components/ChatPanel"; +import { api } from "@/utils/api"; +import type { ChatResponse } from "@/utils/types"; + +/** + * Chat state for the AI panel. `onResponse` runs after each reply so the dashboard can refresh + * the portfolio / watchlist when the AI executed trades or changed the watchlist. + */ +export function useChat(onResponse: (r: ChatResponse) => void) { + const [messages, setMessages] = useState([]); + const [loading, setLoading] = useState(false); + const nextId = useRef(1); + + const send = useCallback( + async (text: string) => { + setMessages((m) => [...m, { id: nextId.current++, role: "user", content: text }]); + setLoading(true); + try { + const r = await api.chat(text); + setMessages((m) => [ + ...m, + { + id: nextId.current++, + role: "assistant", + content: r.message, + actions: { executed_trades: r.executed_trades, watchlist_changes: r.watchlist_changes }, + }, + ]); + onResponse(r); + } catch (e) { + setMessages((m) => [ + ...m, + { + id: nextId.current++, + role: "assistant", + content: e instanceof Error ? e.message : "Something went wrong.", + isError: true, + }, + ]); + } finally { + setLoading(false); + } + }, + [onResponse], + ); + + return { messages, loading, send }; +} diff --git a/frontend/hooks/useFlash.ts b/frontend/hooks/useFlash.ts new file mode 100644 index 000000000..f3353ebf7 --- /dev/null +++ b/frontend/hooks/useFlash.ts @@ -0,0 +1,24 @@ +"use client"; + +import { useEffect, useRef, useState } from "react"; + +/** + * Returns a CSS class ("flash-up" | "flash-down" | "") for ~500ms whenever `value` changes, + * plus a `key` that changes on every flash so the CSS animation restarts even when two + * consecutive ticks move in the same direction. + */ +export function useFlash(value: number | null | undefined): { className: string; flashKey: number } { + const prev = useRef(value); + const [flash, setFlash] = useState({ className: "", flashKey: 0 }); + + useEffect(() => { + const before = prev.current; + prev.current = value; + if (value == null || before == null || value === before) return; + setFlash((f) => ({ className: value > before ? "flash-up" : "flash-down", flashKey: f.flashKey + 1 })); + const id = setTimeout(() => setFlash((f) => ({ ...f, className: "" })), 500); + return () => clearTimeout(id); + }, [value]); + + return flash; +} diff --git a/frontend/hooks/usePriceStream.ts b/frontend/hooks/usePriceStream.ts new file mode 100644 index 000000000..1331ea9bd --- /dev/null +++ b/frontend/hooks/usePriceStream.ts @@ -0,0 +1,93 @@ +"use client"; + +import { useEffect, useRef, useState } from "react"; +import { API_BASE, isMock } from "@/utils/api"; +import { subscribeMockPrices } from "@/utils/mock"; +import type { ConnectionStatus, PricePoint, PriceTick } from "@/utils/types"; + +/** Sparkline / chart history kept per ticker (~5 minutes at 2 ticks/second). */ +const MAX_POINTS = 600; +/** No message for this long while "connected" => treat the stream as stalled (yellow dot). */ +const STALE_MS = 20_000; + +export interface PriceStream { + /** Latest tick per ticker. */ + prices: Record; + /** Prices accumulated since page load, oldest first. */ + history: Record; + /** First price seen this session, used as the baseline for "change since open". */ + open: Record; + status: ConnectionStatus; +} + +/** + * Subscribes to GET /api/stream/prices with the native EventSource (or the mock stream). + * The browser reconnects automatically; `status` reflects the health of the connection: + * connected - open and receiving + * reconnecting - connecting, dropped and retrying, or open but silent for too long + * disconnected - the connection was closed and will not retry + */ +export function usePriceStream(): PriceStream { + const [prices, setPrices] = useState>({}); + const [history, setHistory] = useState>({}); + const [open, setOpen] = useState>({}); + const [status, setStatus] = useState("reconnecting"); + const lastMessage = useRef(0); + + useEffect(() => { + const onData = (data: Record) => { + lastMessage.current = Date.now(); + setStatus("connected"); + setPrices((prev) => ({ ...prev, ...data })); + setHistory((prev) => { + const next = { ...prev }; + for (const [ticker, tick] of Object.entries(data)) { + const list = prev[ticker] ?? []; + if (list.length && list[list.length - 1].t === tick.timestamp) continue; // duplicate + next[ticker] = [...list, { t: tick.timestamp, p: tick.price }].slice(-MAX_POINTS); + } + return next; + }); + // Record each ticker's first price once; it never changes afterwards. + setOpen((prev) => { + const fresh = Object.keys(data).filter((t) => !(t in prev)); + return fresh.length + ? { ...prev, ...Object.fromEntries(fresh.map((t) => [t, data[t].previous_price || data[t].price])) } + : prev; + }); + }; + + let cleanup: () => void; + if (isMock()) { + cleanup = subscribeMockPrices(onData); + } else { + const es = new EventSource(`${API_BASE}/api/stream/prices`); + es.onopen = () => setStatus("connected"); + es.onmessage = (e) => { + try { + onData(JSON.parse(e.data)); + } catch { + /* ignore a malformed event; the next one will arrive shortly */ + } + }; + // CONNECTING => the browser is retrying by itself; CLOSED => it gave up. + es.onerror = () => + setStatus(es.readyState === EventSource.CLOSED ? "disconnected" : "reconnecting"); + cleanup = () => es.close(); + } + + // Watchdog: an open connection that goes silent is not healthy. + const watchdog = setInterval(() => { + if (lastMessage.current && Date.now() - lastMessage.current > STALE_MS) { + setStatus((s) => (s === "connected" ? "reconnecting" : s)); + } + }, 2_000); + + return () => { + cleanup(); + clearInterval(watchdog); + }; + }, []); + + return { prices, history, open, status }; +} diff --git a/frontend/hooks/useResource.ts b/frontend/hooks/useResource.ts new file mode 100644 index 000000000..9ad67f544 --- /dev/null +++ b/frontend/hooks/useResource.ts @@ -0,0 +1,42 @@ +"use client"; + +import { useCallback, useEffect, useRef, useState } from "react"; + +export interface Resource { + data: T | null; + loading: boolean; // true only until the first response (or failure) arrives + error: string | null; + refresh: () => Promise; +} + +/** + * Fetch-on-mount with optional polling and a manual `refresh`. The last good `data` is kept + * when a refresh fails, so a flaky backend does not blank the screen. + */ +export function useResource(fetcher: () => Promise, pollMs?: number): Resource { + const [data, setData] = useState(null); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + const fetchRef = useRef(fetcher); + fetchRef.current = fetcher; + + const refresh = useCallback(async () => { + try { + setData(await fetchRef.current()); + setError(null); + } catch (e) { + setError(e instanceof Error ? e.message : "Request failed"); + } finally { + setLoading(false); + } + }, []); + + useEffect(() => { + void refresh(); + if (!pollMs) return; + const id = setInterval(() => void refresh(), pollMs); + return () => clearInterval(id); + }, [refresh, pollMs]); + + return { data, loading, error, refresh }; +} diff --git a/frontend/hooks/useToasts.ts b/frontend/hooks/useToasts.ts new file mode 100644 index 000000000..7ba681280 --- /dev/null +++ b/frontend/hooks/useToasts.ts @@ -0,0 +1,31 @@ +"use client"; + +import { useCallback, useState } from "react"; + +export type ToastKind = "success" | "error" | "info"; + +export interface Toast { + id: number; + kind: ToastKind; + message: string; +} + +let nextId = 1; + +/** Transient user feedback (trade results, errors). Toasts dismiss themselves after `ttl` ms. */ +export function useToasts(ttl = 4500) { + const [toasts, setToasts] = useState([]); + + const dismiss = useCallback((id: number) => setToasts((t) => t.filter((x) => x.id !== id)), []); + + const push = useCallback( + (kind: ToastKind, message: string) => { + const id = nextId++; + setToasts((t) => [...t.slice(-3), { id, kind, message }]); + setTimeout(() => dismiss(id), ttl); + }, + [dismiss, ttl], + ); + + return { toasts, push, dismiss }; +} diff --git a/frontend/next.config.mjs b/frontend/next.config.mjs new file mode 100644 index 000000000..7500b1946 --- /dev/null +++ b/frontend/next.config.mjs @@ -0,0 +1,20 @@ +const isDev = process.env.NODE_ENV !== "production"; + +/** @type {import('next').NextConfig} */ +const nextConfig = { + // Production: static export, served by FastAPI from the same origin (PLAN.md section 3). + // Dev: `next dev` cannot export, so it runs normally and proxies /api/* to the backend. + ...(isDev + ? { + async rewrites() { + const backend = process.env.BACKEND_URL || "http://localhost:8000"; + return [{ source: "/api/:path*", destination: `${backend}/api/:path*` }]; + }, + } + : { output: "export" }), + // Streaming (SSE) responses must not be buffered by gzip in the dev proxy. + compress: false, + reactStrictMode: true, +}; + +export default nextConfig; diff --git a/frontend/package-lock.json b/frontend/package-lock.json new file mode 100644 index 000000000..aafc8364b --- /dev/null +++ b/frontend/package-lock.json @@ -0,0 +1,2011 @@ +{ + "name": "finally-frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "finally-frontend", + "version": "0.1.0", + "dependencies": { + "lightweight-charts": "^4.2.0", + "next": "^14.2.15", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "recharts": "^2.12.7" + }, + "devDependencies": { + "@types/node": "^20.14.0", + "@types/react": "^18.3.3", + "@types/react-dom": "^18.3.0", + "autoprefixer": 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} + } +} diff --git a/frontend/package.json b/frontend/package.json new file mode 100644 index 000000000..171bf8fbe --- /dev/null +++ b/frontend/package.json @@ -0,0 +1,26 @@ +{ + "name": "finally-frontend", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build", + "typecheck": "tsc --noEmit" + }, + "dependencies": { + "lightweight-charts": "^4.2.0", + "next": "^14.2.15", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "recharts": "^2.12.7" + }, + "devDependencies": { + "@types/node": "^20.14.0", + "@types/react": "^18.3.3", + "@types/react-dom": "^18.3.0", + "autoprefixer": "^10.4.19", + "postcss": "^8.4.38", + "tailwindcss": "^3.4.4", + "typescript": "^5.5.0" + } +} diff --git a/frontend/postcss.config.mjs b/frontend/postcss.config.mjs new file mode 100644 index 000000000..00d2e2831 --- /dev/null +++ b/frontend/postcss.config.mjs @@ -0,0 +1,5 @@ +const config = { + plugins: { tailwindcss: {}, autoprefixer: {} }, +}; + +export default config; diff --git a/frontend/public/favicon.svg b/frontend/public/favicon.svg new file mode 100644 index 000000000..2d009553c --- /dev/null +++ b/frontend/public/favicon.svg @@ -0,0 +1 @@ + diff --git a/frontend/styles/globals.css b/frontend/styles/globals.css new file mode 100644 index 000000000..f1138c9a4 --- /dev/null +++ b/frontend/styles/globals.css @@ -0,0 +1,65 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + color-scheme: dark; +} + +html, +body { + background: #0d1117; + color: #e6edf3; +} + +body { + font-family: ui-sans-serif, system-ui, -apple-system, "Segoe UI", Roboto, sans-serif; + font-size: 13px; + -webkit-font-smoothing: antialiased; +} + +/* Price flash: a brief green/red background that fades out over 500ms (PLAN.md section 2). */ +@keyframes flash-up { + from { + background-color: rgba(63, 185, 80, 0.45); + } + to { + background-color: transparent; + } +} +@keyframes flash-down { + from { + background-color: rgba(248, 81, 73, 0.45); + } + to { + background-color: transparent; + } +} +.flash-up { + animation: flash-up 500ms ease-out; +} +.flash-down { + animation: flash-down 500ms ease-out; +} + +/* Reconnecting pulse for the connection dot. */ +@keyframes pulse-dot { + 50% { + opacity: 0.35; + } +} +.pulse-dot { + animation: pulse-dot 1s ease-in-out infinite; +} + +/* Slim dark scrollbars. */ +* { + scrollbar-width: thin; + scrollbar-color: #30363d transparent; +} + +/* Tabular figures keep changing numbers from jittering. */ +.num { + font-variant-numeric: tabular-nums; + font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace; +} diff --git a/frontend/tailwind.config.ts b/frontend/tailwind.config.ts new file mode 100644 index 000000000..45d8483dc --- /dev/null +++ b/frontend/tailwind.config.ts @@ -0,0 +1,35 @@ +import type { Config } from "tailwindcss"; + +const config: Config = { + content: [ + "./app/**/*.{ts,tsx}", + "./components/**/*.{ts,tsx}", + "./hooks/**/*.{ts,tsx}", + "./utils/**/*.{ts,tsx}", + ], + theme: { + extend: { + colors: { + // Backgrounds: dark, never pure black (PLAN.md section 2). + canvas: "#0d1117", + panel: "#161b22", + raised: "#1c2230", + line: "#30363d", + muted: "#8b949e", + // Brand palette. + accent: "#ecad0a", // yellow accent + primary: "#209dd7", // blue primary + secondary: "#753991", // purple: submit buttons + // Market direction. + up: "#3fb950", + down: "#f85149", + }, + fontFamily: { + mono: ["ui-monospace", "SFMono-Regular", "Menlo", "Consolas", "monospace"], + }, + }, + }, + plugins: [], +}; + +export default config; diff --git a/frontend/tsconfig.json b/frontend/tsconfig.json new file mode 100644 index 000000000..bde17a6e0 --- /dev/null +++ b/frontend/tsconfig.json @@ -0,0 +1,21 @@ +{ + "compilerOptions": { + "target": "ES2020", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": false, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [{ "name": "next" }], + "paths": { "@/*": ["./*"] } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} diff --git a/frontend/utils/api.ts b/frontend/utils/api.ts new file mode 100644 index 000000000..5ebaf5449 --- /dev/null +++ b/frontend/utils/api.ts @@ -0,0 +1,102 @@ +import { ApiError } from "./errors"; +import { mockApi } from "./mock"; +import type { + AnalysisReport, + ChatResponse, + Portfolio, + RiskAssessment, + Snapshot, + TradeOrder, + TradeResponse, + WatchlistEntry, + WatchlistResponse, +} from "./types"; + +/** Empty = same origin (production static export, or the `next dev` proxy). */ +export const API_BASE = process.env.NEXT_PUBLIC_API_BASE ?? ""; + +let mockFlag: boolean | null = null; + +/** + * Mock mode serves built-in data so the UI runs without a backend. + * Enable with NEXT_PUBLIC_USE_MOCK=true, or open the app with ?mock=1. Client-side only. + */ +export function isMock(): boolean { + if (mockFlag === null) { + const fromUrl = + typeof window !== "undefined" && new URLSearchParams(window.location.search).get("mock") === "1"; + mockFlag = process.env.NEXT_PUBLIC_USE_MOCK === "true" || fromUrl; + } + return mockFlag; +} + +export { ApiError }; + +/** Pull a readable message out of the backend's error shapes ({error}, {detail: str | [{msg}]}). */ +function errorMessage(body: unknown, fallback: string): string { + if (body && typeof body === "object") { + const b = body as { error?: string; detail?: unknown }; + if (typeof b.error === "string") return b.error; + if (typeof b.detail === "string") return b.detail; + if (Array.isArray(b.detail)) { + return b.detail.map((d: { msg?: string }) => d?.msg ?? "invalid input").join("; "); + } + } + return fallback; +} + +async function request(path: string, init?: RequestInit): Promise { + let res: Response; + try { + res = await fetch(`${API_BASE}${path}`, { + ...init, + headers: { "Content-Type": "application/json", ...init?.headers }, + }); + } catch { + throw new ApiError("Cannot reach the backend. Is it running on port 8000?"); + } + const body = await res.json().catch(() => null); + if (!res.ok) { + throw new ApiError( + errorMessage(body, `${res.status} ${res.statusText}`), + res.status, + (body as { reasons?: string[] } | null)?.reasons ?? [], + ); + } + return body as T; +} + +const post = (path: string, data: unknown) => + request(path, { method: "POST", body: JSON.stringify(data) }); + +/** Every backend route the UI uses; each dispatches to the mock when mock mode is on. */ +export const api = { + portfolio: (): Promise => + isMock() ? mockApi.portfolio() : request("/api/portfolio"), + + history: (): Promise => + isMock() ? mockApi.history() : request("/api/portfolio/history"), + + trade: (order: TradeOrder): Promise => + isMock() ? mockApi.trade(order) : post("/api/trade", order), + + watchlist: (): Promise => + isMock() ? mockApi.watchlist() : request("/api/watchlist"), + + addTicker: (ticker: string): Promise => + isMock() ? mockApi.addTicker(ticker) : post("/api/watchlist", { ticker, action: "add" }), + + removeTicker: (ticker: string): Promise => + isMock() + ? mockApi.removeTicker(ticker) + : request(`/api/watchlist/${encodeURIComponent(ticker)}`, { method: "DELETE" }), + + chat: (message: string): Promise => + isMock() ? mockApi.chat(message) : post("/api/chat", { message }), + + analysis: (): Promise => + isMock() ? mockApi.analysis() : request("/api/analysis"), + + riskAssessment: (): Promise => + isMock() ? mockApi.riskAssessment() : request("/api/risk-assessment"), +}; diff --git a/frontend/utils/chart.ts b/frontend/utils/chart.ts new file mode 100644 index 000000000..040ab61e6 --- /dev/null +++ b/frontend/utils/chart.ts @@ -0,0 +1,30 @@ +import type { UTCTimestamp } from "lightweight-charts"; + +export const CHART_COLORS = { + text: "#8b949e", + grid: "#21262d", + border: "#30363d", + primary: "#209dd7", + accent: "#ecad0a", +}; + +export interface SeriesPoint { + time: UTCTimestamp; + value: number; +} + +/** + * Lightweight Charts requires strictly ascending, unique integer-second timestamps. Ticks arrive + * every ~500ms, so several share a second: keep the last value of each second. + */ +export function toSeriesData(points: { t: number; v: number }[]): SeriesPoint[] { + const out: SeriesPoint[] = []; + for (const { t, v } of points) { + const time = Math.floor(t) as UTCTimestamp; + const last = out[out.length - 1]; + if (last && time < last.time) continue; // out-of-order: drop + if (last && time === last.time) last.value = v; + else out.push({ time, value: v }); + } + return out; +} diff --git a/frontend/utils/errors.ts b/frontend/utils/errors.ts new file mode 100644 index 000000000..dd569e5da --- /dev/null +++ b/frontend/utils/errors.ts @@ -0,0 +1,10 @@ +/** An API failure with a user-presentable message (and Risk's individual reasons, if any). */ +export class ApiError extends Error { + constructor( + message: string, + public status = 0, + public reasons: string[] = [], + ) { + super(message); + } +} diff --git a/frontend/utils/format.ts b/frontend/utils/format.ts new file mode 100644 index 000000000..216f5c77a --- /dev/null +++ b/frontend/utils/format.ts @@ -0,0 +1,30 @@ +const usd = new Intl.NumberFormat("en-US", { + style: "currency", + currency: "USD", + minimumFractionDigits: 2, + maximumFractionDigits: 2, +}); + +export const fmtUsd = (n: number | null | undefined): string => + n == null || Number.isNaN(n) ? "—" : usd.format(n); + +/** Signed dollar amount, e.g. +$12.34 / -$5.00. */ +export const fmtSignedUsd = (n: number | null | undefined): string => { + if (n == null || Number.isNaN(n)) return "—"; + return `${n >= 0 ? "+" : "-"}${usd.format(Math.abs(n))}`; +}; + +/** Signed percent, e.g. +1.25% / -0.40%. */ +export const fmtPct = (n: number | null | undefined, digits = 2): string => { + if (n == null || Number.isNaN(n)) return "—"; + return `${n >= 0 ? "+" : ""}${n.toFixed(digits)}%`; +}; + +/** Share quantity: up to 4 decimals (fractional shares), no trailing zeros. */ +export const fmtQty = (n: number): string => Number(n.toFixed(4)).toString(); + +/** Tailwind text colour for a signed value. */ +export const signClass = (n: number | null | undefined): string => + n == null || n === 0 ? "text-muted" : n > 0 ? "text-up" : "text-down"; + +export const TICKER_RE = /^[A-Z]{1,5}(\.[A-Z])?$/; diff --git a/frontend/utils/mock.ts b/frontend/utils/mock.ts new file mode 100644 index 000000000..c16e3e17c --- /dev/null +++ b/frontend/utils/mock.ts @@ -0,0 +1,361 @@ +// Mock backend: an in-memory stand-in for the FastAPI API and the SSE price stream, so the UI +// runs (and can be developed) without a server. Behaviour mirrors the real backend's rules: +// market orders at the current price, weighted-average cost, cash/shares validation, and a +// 50% max position weight. Enable with ?mock=1 or NEXT_PUBLIC_USE_MOCK=true (see utils/api.ts). + +import { ApiError } from "./errors"; +import type { + AnalysisReport, + ChatResponse, + Portfolio, + Position, + PriceTick, + RiskAssessment, + Snapshot, + TradeOrder, + TradeResponse, + TradeResult, + WatchlistEntry, + WatchlistResponse, + WatchlistResult, +} from "./types"; + +const START_CASH = 10_000; +const MAX_POSITION_PCT = 50; +const DEFAULT_TICKERS: Record = { + AAPL: 190, + GOOGL: 175, + MSFT: 420, + AMZN: 185, + TSLA: 250, + NVDA: 800, + META: 500, + JPM: 195, + V: 280, + NFLX: 600, +}; + +const sleep = (ms: number) => new Promise((r) => setTimeout(r, ms)); +const round2 = (n: number) => Math.round(n * 100) / 100; + +// --------------------------------------------------------------------------- prices + +interface MockQuote { + price: number; + previous: number; +} +const quotes: Record = {}; + +/** Unknown tickers get a deterministic pseudo-price so any symbol can be watched or traded. */ +function ensureQuote(ticker: string): MockQuote { + if (!quotes[ticker]) { + const seed = + DEFAULT_TICKERS[ticker] ?? + 50 + ([...ticker].reduce((s, c) => s + c.charCodeAt(0), 0) % 250); + quotes[ticker] = { price: seed, previous: seed }; + } + return quotes[ticker]; +} +Object.keys(DEFAULT_TICKERS).forEach(ensureQuote); + +const priceOf = (ticker: string) => ensureQuote(ticker).price; + +function toTick(ticker: string, q: MockQuote): PriceTick { + const change = round2(q.price - q.previous); + return { + ticker, + price: round2(q.price), + previous_price: round2(q.previous), + timestamp: Date.now() / 1000, + change, + change_percent: q.previous ? (change / q.previous) * 100 : 0, + direction: change > 0 ? "up" : change < 0 ? "down" : "flat", + }; +} + +/** Random-walk one step for every tracked ticker; returns the SSE-shaped payload. */ +function stepPrices(): Record { + const out: Record = {}; + for (const [ticker, q] of Object.entries(quotes)) { + let move = (Math.random() - 0.5) * 0.004; // about +/-0.2% per tick + if (Math.random() < 0.01) move += (Math.random() < 0.5 ? -1 : 1) * 0.03; // occasional "event" + q.previous = q.price; + q.price = Math.max(1, q.price * (1 + move)); + out[ticker] = toTick(ticker, q); + } + return out; +} + +/** Stand-in for EventSource: emits the full price map every 500ms. Returns an unsubscribe fn. */ +export function subscribeMockPrices(onData: (prices: Record) => void): () => void { + snapshotTimer ??= setInterval(recordSnapshot, 30_000); + onData(Object.fromEntries(Object.entries(quotes).map(([t, q]) => [t, toTick(t, q)]))); + const id = setInterval(() => onData(stepPrices()), 500); + return () => clearInterval(id); +} + +// --------------------------------------------------------------------------- state + +let cash = START_CASH; +const holdings = new Map(); +let realizedPnl = 0; +const watchlist: { ticker: string; added_by: string; added_at: string }[] = Object.keys( + DEFAULT_TICKERS, +).map((ticker) => ({ ticker, added_by: "system", added_at: new Date().toISOString() })); + +function buildPortfolio(): Portfolio { + const positions: Position[] = [...holdings.entries()] + .sort(([a], [b]) => a.localeCompare(b)) + .map(([ticker, h]) => { + const price = priceOf(ticker); + const market_value = h.quantity * price; + const basis = h.quantity * h.avg_cost; + return { + ticker, + quantity: h.quantity, + avg_cost: h.avg_cost, + current_price: price, + market_value, + unrealized_pnl: market_value - basis, + pnl_percent: basis ? ((market_value - basis) / basis) * 100 : 0, + }; + }); + const positions_value = positions.reduce((s, p) => s + p.market_value, 0); + const total_value = cash + positions_value; + return { + cash_balance: cash, + positions, + positions_value, + total_value, + starting_cash: START_CASH, + unrealized_pnl: positions.reduce((s, p) => s + p.unrealized_pnl, 0), + realized_pnl: realizedPnl, + total_pnl: total_value - START_CASH, + }; +} + +// A short backfilled history so the P&L chart has a shape on first load. +const history: Snapshot[] = (() => { + const out: Snapshot[] = []; + const now = Date.now(); + let v = START_CASH; + for (let i = 60; i > 0; i--) { + v += (Math.random() - 0.5) * 12; + out.push({ + total_value: round2(v), + cash_balance: START_CASH, + positions_value: 0, + total_pnl: round2(v - START_CASH), + recorded_at: new Date(now - i * 30_000).toISOString(), + }); + } + return out; +})(); + +function recordSnapshot() { + const p = buildPortfolio(); + history.push({ + total_value: p.total_value, + cash_balance: p.cash_balance, + positions_value: p.positions_value, + total_pnl: p.total_pnl, + recorded_at: new Date().toISOString(), + }); +} +// Same cadence as the real backend's snapshot task. Started lazily (by subscribeMockPrices) so +// nothing runs at import time when the app talks to the real backend. +let snapshotTimer: ReturnType | null = null; + +// --------------------------------------------------------------------------- operations + +function executeTrade(order: TradeOrder): TradeResult { + const ticker = order.ticker.trim().toUpperCase(); + const price = round2(priceOf(ticker)); + const fail = (error: string): TradeResult => ({ + ok: false, + trade_id: null, + ticker, + side: order.side, + quantity: order.quantity, + price: null, + realized_pnl: null, + error, + warnings: [], + }); + + if (!(order.quantity > 0)) return fail("quantity must be a positive number"); + const amount = order.quantity * price; + const held = holdings.get(ticker); + let realized: number | null = null; + + if (order.side === "buy") { + if (amount > cash + 1e-9) + return fail(`insufficient cash: order costs $${amount.toFixed(2)}, available $${cash.toFixed(2)}`); + const total = buildPortfolio().total_value; + const weight = (((held?.quantity ?? 0) * price + amount) / total) * 100; + if (weight > MAX_POSITION_PCT) + return fail(`${ticker} would be ${weight.toFixed(1)}% of the portfolio (limit ${MAX_POSITION_PCT}%)`); + const qty = (held?.quantity ?? 0) + order.quantity; + holdings.set(ticker, { + quantity: qty, + avg_cost: ((held?.quantity ?? 0) * (held?.avg_cost ?? 0) + amount) / qty, + }); + cash -= amount; + } else { + if (!held) return fail(`no ${ticker} position to sell`); + if (order.quantity > held.quantity + 1e-9) + return fail(`insufficient shares: selling ${order.quantity} ${ticker}, holding ${held.quantity}`); + realized = (price - held.avg_cost) * order.quantity; + realizedPnl += realized; + cash += amount; + const remaining = held.quantity - order.quantity; + if (remaining < 1e-9) holdings.delete(ticker); + else holdings.set(ticker, { ...held, quantity: remaining }); + } + recordSnapshot(); + return { + ok: true, + trade_id: crypto.randomUUID(), + ticker, + side: order.side, + quantity: order.quantity, + price, + realized_pnl: realized, + error: null, + warnings: [], + }; +} + +function listWatchlist(): WatchlistEntry[] { + return watchlist.map((w) => { + const q = ensureQuote(w.ticker); + const tick = toTick(w.ticker, q); + return { ...w, price: tick.price, previous_price: tick.previous_price, change_percent: tick.change_percent, direction: tick.direction }; + }); +} + +function watchlistResult(action: string, ticker: string, error: string | null = null): WatchlistResult { + return { ok: !error, ticker, action, error, note: null }; +} + +const CHAT_TRADE = /\b(buy|sell)\s+(\d+(?:\.\d+)?)\s+(?:shares?\s+of\s+)?([A-Za-z]{1,5})\b/gi; +const CHAT_WATCH = /\b(add|remove)\s+([A-Za-z]{1,5})\b/gi; + +// --------------------------------------------------------------------------- the mock API + +export const mockApi = { + async portfolio(): Promise { + await sleep(120); + return buildPortfolio(); + }, + + async history(): Promise { + await sleep(120); + return [...history]; + }, + + async trade(order: TradeOrder): Promise { + await sleep(200); + const trade = executeTrade(order); + if (!trade.ok) throw new ApiError(trade.error ?? "trade failed", 400, [trade.error ?? ""]); + return { trade, portfolio: buildPortfolio() }; + }, + + async watchlist(): Promise { + await sleep(120); + return listWatchlist(); + }, + + async addTicker(raw: string): Promise { + await sleep(150); + const ticker = raw.trim().toUpperCase(); + if (!/^[A-Z]{1,5}(\.[A-Z])?$/.test(ticker)) throw new ApiError(`'${ticker}' is not a valid ticker symbol`, 400); + if (!watchlist.some((w) => w.ticker === ticker)) { + ensureQuote(ticker); + watchlist.push({ ticker, added_by: "user", added_at: new Date().toISOString() }); + } + return { result: watchlistResult("add", ticker), watchlist: listWatchlist() }; + }, + + async removeTicker(raw: string): Promise { + await sleep(150); + const ticker = raw.trim().toUpperCase(); + const i = watchlist.findIndex((w) => w.ticker === ticker); + if (i < 0) throw new ApiError(`${ticker} is not on the watchlist`, 404); + watchlist.splice(i, 1); + return { result: watchlistResult("remove", ticker), watchlist: listWatchlist() }; + }, + + /** Deterministic stand-in for the LLM, like the backend's LLM_MOCK: parses "buy 5 AAPL" etc. */ + async chat(message: string): Promise { + await sleep(700); // long enough to see the loading indicator + const executed_trades = [...message.matchAll(CHAT_TRADE)].map(([, side, qty, ticker]) => + executeTrade({ ticker, side: side.toLowerCase() as "buy" | "sell", quantity: Number(qty) }), + ); + const watchlist_changes: WatchlistResult[] = []; + if (/watchlist/i.test(message)) { + for (const [, action, raw] of message.matchAll(CHAT_WATCH)) { + const ticker = raw.toUpperCase(); + if (action.toLowerCase() === "add") { + ensureQuote(ticker); + if (!watchlist.some((w) => w.ticker === ticker)) + watchlist.push({ ticker, added_by: "ai", added_at: new Date().toISOString() }); + watchlist_changes.push(watchlistResult("add", ticker)); + } else { + const i = watchlist.findIndex((w) => w.ticker === ticker); + if (i >= 0) watchlist.splice(i, 1); + watchlist_changes.push(watchlistResult("remove", ticker, i < 0 ? `${ticker} is not on the watchlist` : null)); + } + } + } + const acted = executed_trades.length > 0 || watchlist_changes.length > 0; + const p = buildPortfolio(); + let text = acted + ? "Mock mode: executing your request." + : `Mock mode: your portfolio is worth $${p.total_value.toFixed(2)} with $${p.cash_balance.toFixed(2)} in cash. Try "buy 5 AAPL" or "add PYPL to my watchlist".`; + const failures = executed_trades.filter((t) => !t.ok); + if (failures.length) text += "\n\n" + failures.map((t) => `⚠ Could not ${t.side} ${t.quantity} ${t.ticker}: ${t.error}`).join("\n"); + return { message: text, executed_trades, watchlist_changes, warnings: [] }; + }, + + async analysis(): Promise { + await sleep(120); + const p = buildPortfolio(); + const positions = p.positions + .map((x) => ({ + ticker: x.ticker, + weight_pct: (x.market_value / p.total_value) * 100, + unrealized_pnl: x.unrealized_pnl, + pnl_pct: x.pnl_percent, + day_change_pct: null, + })) + .sort((a, b) => b.weight_pct - a.weight_pct); + return { + total_value: p.total_value, + cash_pct: (p.cash_balance / p.total_value) * 100, + positions, + top_concentration: positions[0] ?? null, + herfindahl_index: positions.reduce((s, x) => s + (x.weight_pct / 100) ** 2, 0), + best_performer: [...positions].sort((a, b) => b.unrealized_pnl - a.unrealized_pnl)[0] ?? null, + worst_performer: [...positions].sort((a, b) => a.unrealized_pnl - b.unrealized_pnl)[0] ?? null, + watchlist_movers: [], + flags: positions.filter((x) => x.weight_pct > 25).map((x) => `${x.ticker} is ${x.weight_pct.toFixed(0)}% of the portfolio`), + }; + }, + + async riskAssessment(): Promise { + const a = await mockApi.analysis(); + const over = a.positions.filter((x) => x.weight_pct > 25).map((x) => x.ticker); + const level = over.length ? (a.herfindahl_index > 0.5 ? "high" : "moderate") : "low"; + return { + total_value: a.total_value, + cash_pct: a.cash_pct, + largest_position: a.top_concentration, + herfindahl_index: a.herfindahl_index, + positions_over_warn: over, + positions_over_limit: a.positions.filter((x) => x.weight_pct > MAX_POSITION_PCT).map((x) => x.ticker), + level, + flags: a.flags, + }; + }, +}; diff --git a/frontend/utils/portfolio.ts b/frontend/utils/portfolio.ts new file mode 100644 index 000000000..39c227d74 --- /dev/null +++ b/frontend/utils/portfolio.ts @@ -0,0 +1,30 @@ +import type { Portfolio, PriceTick } from "./types"; + +/** + * Re-value a portfolio snapshot at the latest streamed prices, so the header, positions table + * and heatmap tick live between (infrequent) /api/portfolio fetches. Cash is unchanged. + */ +export function revalue(p: Portfolio, prices: Record): Portfolio { + const positions = p.positions.map((pos) => { + const price = prices[pos.ticker]?.price ?? pos.current_price ?? pos.avg_cost; + const market_value = pos.quantity * price; + const basis = pos.quantity * pos.avg_cost; + return { + ...pos, + current_price: price, + market_value, + unrealized_pnl: market_value - basis, + pnl_percent: basis ? ((market_value - basis) / basis) * 100 : 0, + }; + }); + const positions_value = positions.reduce((s, x) => s + x.market_value, 0); + const total_value = p.cash_balance + positions_value; + return { + ...p, + positions, + positions_value, + total_value, + unrealized_pnl: positions.reduce((s, x) => s + x.unrealized_pnl, 0), + total_pnl: total_value - p.starting_cash, + }; +} diff --git a/frontend/utils/types.ts b/frontend/utils/types.ts new file mode 100644 index 000000000..e51e4dcb7 --- /dev/null +++ b/frontend/utils/types.ts @@ -0,0 +1,135 @@ +// Types mirror the backend Pydantic models (backend/app/agents/models.py). + +export type Side = "buy" | "sell"; +export type Direction = "up" | "down" | "flat"; +export type ConnectionStatus = "connected" | "reconnecting" | "disconnected"; + +/** One entry of the SSE payload: {"AAPL": PriceTick, ...}. `timestamp` is unix seconds. */ +export interface PriceTick { + ticker: string; + price: number; + previous_price: number; + timestamp: number; + change: number; + change_percent: number; + direction: Direction; +} + +/** A price observed on the stream, accumulated on the client for sparklines and charts. */ +export interface PricePoint { + t: number; // unix seconds + p: number; +} + +export interface Position { + ticker: string; + quantity: number; + avg_cost: number; + current_price: number | null; + market_value: number; + unrealized_pnl: number; + pnl_percent: number; +} + +export interface Portfolio { + cash_balance: number; + positions: Position[]; + positions_value: number; + total_value: number; + starting_cash: number; + unrealized_pnl: number; + realized_pnl: number; + total_pnl: number; +} + +export interface Snapshot { + total_value: number; + cash_balance: number; + positions_value: number; + total_pnl: number; + recorded_at: string; // ISO-8601 +} + +export interface WatchlistEntry { + ticker: string; + added_by: string; + added_at: string; + price: number | null; + previous_price: number | null; + change_percent: number | null; + direction: Direction | null; +} + +export interface TradeOrder { + ticker: string; + side: Side; + quantity: number; +} + +export interface TradeResult { + ok: boolean; + trade_id: string | null; + ticker: string; + side: Side; + quantity: number; + price: number | null; + realized_pnl: number | null; + error: string | null; + warnings: string[]; +} + +export interface TradeResponse { + trade: TradeResult; + portfolio: Portfolio; +} + +export interface WatchlistResult { + ok: boolean; + ticker: string; + action: string; + error: string | null; + note: string | null; +} + +export interface WatchlistResponse { + result: WatchlistResult; + watchlist: WatchlistEntry[]; +} + +export interface ChatResponse { + message: string; + executed_trades: TradeResult[]; + watchlist_changes: WatchlistResult[]; + warnings: string[]; +} + +export interface PositionMetric { + ticker: string; + weight_pct: number; + unrealized_pnl: number; + pnl_pct: number; + day_change_pct: number | null; +} + +export interface AnalysisReport { + total_value: number; + cash_pct: number; + positions: PositionMetric[]; + top_concentration: PositionMetric | null; + herfindahl_index: number; + best_performer: PositionMetric | null; + worst_performer: PositionMetric | null; + watchlist_movers: { ticker: string; price: number; change_percent: number }[]; + flags: string[]; +} + +export interface RiskAssessment { + total_value: number; + cash_pct: number; + largest_position: PositionMetric | null; + herfindahl_index: number; + positions_over_warn: string[]; + positions_over_limit: string[]; + level: "low" | "moderate" | "high"; + flags: string[]; +} From aa813b4965ac3e37662be78d53c77d1ba9f60a16 Mon Sep 17 00:00:00 2001 From: Paul Orlando Date: Sat, 19 Sep 2026 22:10:07 -0400 Subject: [PATCH 3/6] chore: Add Docker multi-stage build - Node 20: Build Next.js frontend (static export) - Python 3.12: Run FastAPI backend + serve static frontend - Volume mount for SQLite persistence - Reads .env for API keys - Single container on port 8000 Co-Authored-By: Claude Sonnet 5 --- .dockerignore | 42 +++++++++++++++++++++++++++ Dockerfile | 71 ++++++++++++++++++++++++++++++++++++++++++++++ docker-compose.yml | 25 ++++++++++++++++ 3 files changed, 138 insertions(+) create mode 100644 .dockerignore create mode 100644 Dockerfile create mode 100644 docker-compose.yml diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..2cec109fc --- /dev/null +++ b/.dockerignore @@ -0,0 +1,42 @@ +# Keep the build context small and keep secrets and local state out of the image. + +# Version control and editor/agent config +.git +.gitignore +.claude +.vscode +.idea + +# Secrets: pass these at runtime (--env-file / compose env_file), never bake them in +.env +.env.* +**/.env +**/.env.* + +# Local runtime database (the volume provides this in the container) +db/ + +# Node +**/node_modules +frontend/.next +frontend/out +**/*.tsbuildinfo + +# Python +**/.venv +**/__pycache__ +**/*.pyc +**/.pytest_cache +**/.ruff_cache +**/.coverage + +# Not needed at runtime +planning +backend/tests +backend/market_data_demo.py +test +scripts +*.md +!backend/README.md +Dockerfile +docker-compose*.yml diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 000000000..0381a50f3 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,71 @@ +# FinAlly: single container, single port (PLAN.md section 11). +# Stage 1 builds the Next.js frontend into static files. +# Stage 2 runs FastAPI, which serves both /api/* and those static files on :8000. +# +# Build: docker build -t finally . +# Run: docker run -v finally-data:/app/db -p 8000:8000 --env-file .env finally + +# --------------------------------------------------------------------------- +# Stage 1: build the frontend (static export) +# --------------------------------------------------------------------------- +FROM node:20-slim AS frontend-build +WORKDIR /frontend + +# Install dependencies first so this layer is cached until package files change. +# `npm ci` installs exactly what package-lock.json pins (reproducible; fails on drift). +COPY frontend/package.json frontend/package-lock.json ./ +RUN npm ci --no-audit --no-fund + +# `next build` runs with NODE_ENV=production, which enables `output: "export"` in +# next.config.mjs. The result is a plain static site in /frontend/out (HTML, JS, CSS and the +# contents of public/), not .next/. +COPY frontend/ ./ +RUN npm run build + +# --------------------------------------------------------------------------- +# Stage 2: backend + static frontend +# --------------------------------------------------------------------------- +FROM python:3.12-slim AS runtime + +# The image mirrors the repo layout under /app because the backend derives its paths from +# where app/ lives (PROJECT_ROOT = /app): +# /app/backend/app application code +# /app/backend/db/schema.sql schema, applied on startup (kept OUT of the volume mount) +# /app/static the built frontend, served at / +# /app/db SQLite database (finally.db), the volume mount point +WORKDIR /app/backend + +ENV PYTHONUNBUFFERED=1 \ + PYTHONDONTWRITEBYTECODE=1 \ + UV_COMPILE_BYTECODE=1 \ + UV_LINK_MODE=copy \ + PATH="/app/backend/.venv/bin:$PATH" + +RUN pip install --no-cache-dir uv + +# Dependencies first (cached until pyproject.toml / uv.lock change). --no-install-project skips +# building the app itself, which would need the source tree; the code is run from /app/backend. +COPY backend/pyproject.toml backend/uv.lock ./ +RUN uv sync --frozen --no-dev --no-install-project + +# Application code and schema. +COPY backend/app ./app +COPY backend/db/schema.sql ./db/schema.sql + +# The built frontend (Stage 1 output). +COPY --from=frontend-build /frontend/out /app/static + +# Run as a non-root user. /app/db is created and owned by that user so that a fresh named +# volume mounted there (Docker copies the ownership from the image) is writable. +RUN useradd --create-home --uid 10001 finally \ + && mkdir -p /app/db \ + && chown -R finally:finally /app/db +USER finally + +VOLUME /app/db +EXPOSE 8000 + +HEALTHCHECK --interval=30s --timeout=5s --start-period=15s --retries=3 \ + CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health', timeout=3)" + +CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 000000000..90e163136 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,25 @@ +# Convenience wrapper around the single FinAlly container (PLAN.md section 11). +# +# docker compose up --build # build and start on http://localhost:8000 +# docker compose down # stop; the database volume is kept +# docker compose down -v # stop AND delete the database (fresh $10,000 portfolio) + +services: + finally: + build: . + image: finally + container_name: finally + ports: + - "8000:8000" + # API keys (OPENROUTER_API_KEY, optional MASSIVE_API_KEY, LLM_MOCK) come from .env. + # `required: false` lets the container start without it; chat then reports a missing key. + env_file: + - path: .env + required: false + volumes: + # Named volume: the SQLite database survives restarts and rebuilds. + - finally-data:/app/db + restart: unless-stopped + +volumes: + finally-data: From 09139c488141923ac86f93ce9304a30a4ec5ed52 Mon Sep 17 00:00:00 2001 From: Paul Orlando Date: Sat, 19 Sep 2026 22:16:29 -0400 Subject: [PATCH 4/6] feat: Add start/stop scripts for macOS/Linux and Windows - scripts/start_mac.sh, start_windows.ps1: build image if needed, run container with volume + .env, wait for health, open browser, print instructions - scripts/stop_mac.sh, stop_windows.ps1: stop and remove container, keep data volume - Idempotent: safe to run repeatedly (uses 'docker container inspect' so an existing image is not mistaken for a container) - .gitattributes: force LF for *.sh so scripts work when committed from Windows - docker-compose.yml: fixed volume name so compose and scripts share one database Co-Authored-By: Claude Sonnet 5 --- .gitattributes | 4 ++ docker-compose.yml | 2 + scripts/start_mac.sh | 141 ++++++++++++++++++++++++++++++++++++++ scripts/start_windows.ps1 | 136 ++++++++++++++++++++++++++++++++++++ scripts/stop_mac.sh | 28 ++++++++ scripts/stop_windows.ps1 | 41 +++++++++++ 6 files changed, 352 insertions(+) create mode 100644 .gitattributes create mode 100755 scripts/start_mac.sh create mode 100644 scripts/start_windows.ps1 create mode 100755 scripts/stop_mac.sh create mode 100644 scripts/stop_windows.ps1 diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 000000000..1dadfaf1a --- /dev/null +++ b/.gitattributes @@ -0,0 +1,4 @@ +# Shell scripts must keep LF endings: a CRLF "#!/usr/bin/env bash\r" fails on macOS/Linux, +# even when the file was committed from Windows with core.autocrlf enabled. +*.sh text eol=lf +Dockerfile text eol=lf diff --git a/docker-compose.yml b/docker-compose.yml index 90e163136..618111023 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -23,3 +23,5 @@ services: volumes: finally-data: + # Fixed name (no compose-project prefix) so this and scripts/start_*.sh|ps1 share one database. + name: finally-data diff --git a/scripts/start_mac.sh b/scripts/start_mac.sh new file mode 100755 index 000000000..bf293f850 --- /dev/null +++ b/scripts/start_mac.sh @@ -0,0 +1,141 @@ +#!/usr/bin/env bash +# Start FinAlly in Docker (macOS / Linux). +# +# ./scripts/start_mac.sh start (builds the image the first time) +# ./scripts/start_mac.sh --build rebuild the image, then (re)start +# ./scripts/start_mac.sh --no-open don't open the browser +# +# Safe to run repeatedly: if FinAlly is already running it just prints the URL. +# The database lives in the Docker volume "finally-data" and survives stop/start. + +set -euo pipefail + +IMAGE="finally" +CONTAINER="finally" +VOLUME="finally-data" +URL="http://localhost:8000" + +usage() { + sed -n '2,9p' "$0" | sed 's/^# \{0,1\}//' +} + +die() { + echo "Error: $*" >&2 + exit 1 +} + +BUILD=false +OPEN_BROWSER=true +for arg in "$@"; do + case "$arg" in + --build) BUILD=true ;; + --no-open) OPEN_BROWSER=false ;; + -h | --help) usage; exit 0 ;; + *) echo "Unknown option: $arg" >&2; usage >&2; exit 2 ;; + esac +done + +# Git Bash on Windows rewrites arguments like `-v name:/app/db` into Windows paths; turn that off. +export MSYS_NO_PATHCONV=1 + +# Work from the project root no matter where the script is called from. +cd "$(dirname "${BASH_SOURCE[0]}")/.." + +command -v docker >/dev/null 2>&1 || die "Docker is not installed. Get it from https://docs.docker.com/get-docker/" +docker info >/dev/null 2>&1 || die "Docker is installed but not running. Start Docker Desktop (or the Docker daemon) and try again." + +container_exists() { docker container inspect "$CONTAINER" >/dev/null 2>&1; } +container_running() { [ "$(docker container inspect -f '{{.State.Running}}' "$CONTAINER" 2>/dev/null || true)" = "true" ]; } + +# NOTE: `docker inspect NAME` matches images and volumes too, so container checks must use +# `docker container inspect`, or an existing image named "finally" looks like a running container. + +# --- 1. Build the image if it is missing (or if --build was passed) --------------------------- +REBUILT=false +if $BUILD || ! docker image inspect "$IMAGE" >/dev/null 2>&1; then + echo "Building the FinAlly image (the first build takes a few minutes)..." + docker build -t "$IMAGE" . + REBUILT=true +fi + +# --- 2. Start the container --------------------------------------------------------------------- +if container_running && ! $REBUILT; then + echo "FinAlly is already running." +else + # Replace any old container (stopped, or running an older image). The volume is untouched. + if container_exists; then + docker rm -f "$CONTAINER" >/dev/null + fi + + ENV_ARGS=() + if [ -f .env ]; then + ENV_ARGS=(--env-file .env) + else + echo "Warning: no .env file found in $(pwd)." >&2 + echo " The app will run, but AI chat needs OPENROUTER_API_KEY. Create .env and re-run." >&2 + fi + + echo "Starting the container..." + docker run -d \ + --name "$CONTAINER" \ + --restart unless-stopped \ + -p 8000:8000 \ + -v "$VOLUME":/app/db \ + ${ENV_ARGS[@]+"${ENV_ARGS[@]}"} \ + "$IMAGE" >/dev/null || die "Could not start the container. Is port 8000 already in use by another program?" +fi + +# --- 3. Wait until the app answers ------------------------------------------------------------- +probe() { + if command -v curl >/dev/null 2>&1; then + curl -fs --max-time 2 "$URL/api/health" >/dev/null + elif command -v wget >/dev/null 2>&1; then + wget -q -O - --timeout=2 "$URL/api/health" >/dev/null + else + return 0 # no HTTP client available: skip the check + fi +} + +printf "Waiting for FinAlly to be ready" +READY=false +for _ in $(seq 1 60); do + if probe; then READY=true; break; fi + if ! container_running; then + echo + docker logs --tail 20 "$CONTAINER" >&2 || true + die "The container stopped during startup (log above)." + fi + printf "." + sleep 1 +done +echo +$READY || die "FinAlly did not respond within 60 seconds. Check: docker logs $CONTAINER" + +# --- 4. Open the browser, print instructions ----------------------------------------------------- +open_browser() { + if command -v open >/dev/null 2>&1; then + open "$URL" + elif command -v xdg-open >/dev/null 2>&1; then + xdg-open "$URL" >/dev/null 2>&1 + elif command -v cmd.exe >/dev/null 2>&1; then # Git Bash / WSL + cmd.exe /c start "" "$URL" >/dev/null 2>&1 + else + return 1 + fi +} + +if $OPEN_BROWSER; then + open_browser || echo "(Could not open a browser automatically; open the URL yourself.)" +fi + +cat < +param( + [switch]$Build, + [switch]$NoOpen +) + +# Native docker commands write progress to stderr; check $LASTEXITCODE explicitly instead of +# letting PowerShell turn that output into terminating errors. +$ErrorActionPreference = 'Continue' + +$Image = 'finally' +$Container = 'finally' +$Volume = 'finally-data' +$Url = 'http://localhost:8000' + +function Fail([string]$Message) { + Write-Host "Error: $Message" -ForegroundColor Red + exit 1 +} + +# Run docker quietly and report only success/failure. +function Test-Docker { + & docker @args *> $null + return ($LASTEXITCODE -eq 0) +} + +function Test-ContainerRunning { + $state = & docker container inspect -f '{{.State.Running}}' $Container 2>$null + return ($LASTEXITCODE -eq 0 -and $state -eq 'true') +} + +# Work from the project root no matter where the script is called from. +Set-Location (Join-Path $PSScriptRoot '..') + +if (-not (Get-Command docker -ErrorAction SilentlyContinue)) { + Fail 'Docker is not installed. Get Docker Desktop from https://docs.docker.com/get-docker/' +} +if (-not (Test-Docker info)) { + Fail 'Docker is installed but not running. Start Docker Desktop and try again.' +} + +# --- 1. Build the image if it is missing (or if -Build was passed) ---------------------------- +$rebuilt = $false +if ($Build -or -not (Test-Docker image inspect $Image)) { + Write-Host 'Building the FinAlly image (the first build takes a few minutes)...' + & docker build -t $Image . + if ($LASTEXITCODE -ne 0) { Fail 'Image build failed (see output above).' } + $rebuilt = $true +} + +# --- 2. Start the container ---------------------------------------------------------------------- +if ((Test-ContainerRunning) -and -not $rebuilt) { + Write-Host 'FinAlly is already running.' +} +else { + # Replace any old container (stopped, or running an older image). The volume is untouched. + if (Test-Docker container inspect $Container) { + & docker rm -f $Container *> $null + } + + $runArgs = @('run', '-d', '--name', $Container, '--restart', 'unless-stopped', + '-p', '8000:8000', '-v', "${Volume}:/app/db") + if (Test-Path .env) { + $runArgs += @('--env-file', '.env') + } + else { + Write-Host "Warning: no .env file found in $(Get-Location)." -ForegroundColor Yellow + Write-Host ' The app will run, but AI chat needs OPENROUTER_API_KEY. Create .env and re-run.' -ForegroundColor Yellow + } + $runArgs += $Image + + Write-Host 'Starting the container...' + & docker @runArgs *> $null + if ($LASTEXITCODE -ne 0) { + Fail 'Could not start the container. Is port 8000 already in use by another program?' + } +} + +# --- 3. Wait until the app answers ------------------------------------------------------------- +Write-Host -NoNewline 'Waiting for FinAlly to be ready' +$ready = $false +for ($i = 0; $i -lt 60; $i++) { + try { + $null = Invoke-WebRequest -Uri "$Url/api/health" -UseBasicParsing -TimeoutSec 2 + $ready = $true + break + } + catch { + if (-not (Test-ContainerRunning)) { + Write-Host '' + & docker logs --tail 20 $Container + Fail 'The container stopped during startup (log above).' + } + Write-Host -NoNewline '.' + Start-Sleep -Seconds 1 + } +} +Write-Host '' +if (-not $ready) { Fail "FinAlly did not respond within 60 seconds. Check: docker logs $Container" } + +# --- 4. Open the browser, print instructions --------------------------------------------------- +if (-not $NoOpen) { + try { Start-Process $Url } + catch { Write-Host '(Could not open a browser automatically; open the URL yourself.)' } +} + +Write-Host @" + + FinAlly is running: $Url + + View logs : docker logs -f $Container + Stop : .\scripts\stop_windows.ps1 (your data is kept in the "$Volume" volume) + Rebuild : .\scripts\start_windows.ps1 -Build + Changed .env? Run stop_windows.ps1, then start_windows.ps1 (keys are read when the container starts). + Reset data: .\scripts\stop_windows.ps1; docker volume rm $Volume + +"@ diff --git a/scripts/stop_mac.sh b/scripts/stop_mac.sh new file mode 100755 index 000000000..2ea0d5738 --- /dev/null +++ b/scripts/stop_mac.sh @@ -0,0 +1,28 @@ +#!/usr/bin/env bash +# Stop FinAlly (macOS / Linux). +# +# Stops and removes the container. The database volume "finally-data" is NOT touched, so your +# portfolio, trades and chat history are still there next time you start. +# Safe to run repeatedly: if nothing is running it says so and exits successfully. + +set -euo pipefail + +CONTAINER="finally" +VOLUME="finally-data" + +# Git Bash on Windows rewrites arguments like `-v name:/app/db` into Windows paths; turn that off. +export MSYS_NO_PATHCONV=1 + +command -v docker >/dev/null 2>&1 || { echo "Error: Docker is not installed." >&2; exit 1; } +docker info >/dev/null 2>&1 || { echo "Error: Docker is not running, so there is nothing to stop." >&2; exit 1; } + +if docker container inspect "$CONTAINER" >/dev/null 2>&1; then + echo "Stopping FinAlly..." + docker stop "$CONTAINER" >/dev/null # graceful: lets the app finish writing to the database + docker rm "$CONTAINER" >/dev/null + echo "Stopped. Your data is kept in the \"$VOLUME\" volume." +else + echo "FinAlly is not running. Nothing to do." +fi + +echo "Start again with ./scripts/start_mac.sh" diff --git a/scripts/stop_windows.ps1 b/scripts/stop_windows.ps1 new file mode 100644 index 000000000..193249b17 --- /dev/null +++ b/scripts/stop_windows.ps1 @@ -0,0 +1,41 @@ +<# +.SYNOPSIS + Stop FinAlly (Windows PowerShell). + +.DESCRIPTION + Stops and removes the container. The database volume "finally-data" is NOT touched, so your + portfolio, trades and chat history are still there next time you start. + Safe to run repeatedly: if nothing is running it says so and exits successfully. +#> + +# Check $LASTEXITCODE explicitly instead of letting docker's stderr output become errors. +$ErrorActionPreference = 'Continue' + +$Container = 'finally' +$Volume = 'finally-data' + +function Test-Docker { + & docker @args *> $null + return ($LASTEXITCODE -eq 0) +} + +if (-not (Get-Command docker -ErrorAction SilentlyContinue)) { + Write-Host 'Error: Docker is not installed.' -ForegroundColor Red + exit 1 +} +if (-not (Test-Docker info)) { + Write-Host 'Error: Docker is not running, so there is nothing to stop.' -ForegroundColor Red + exit 1 +} + +if (Test-Docker container inspect $Container) { + Write-Host 'Stopping FinAlly...' + & docker stop $Container *> $null # graceful: lets the app finish writing to the database + & docker rm $Container *> $null + Write-Host "Stopped. Your data is kept in the `"$Volume`" volume." +} +else { + Write-Host 'FinAlly is not running. Nothing to do.' +} + +Write-Host 'Start again with .\scripts\start_windows.ps1' From 88cb8636eda1d00454a2b8f93b09b26a2c8307e1 Mon Sep 17 00:00:00 2001 From: Paul Orlando Date: Sat, 19 Sep 2026 22:32:56 -0400 Subject: [PATCH 5/6] test: Add Playwright E2E suite for the full trading workflow - test/e2e/test_full_workflow.spec.ts: 10-step serial workflow (fresh start, price streaming + flashes, manual buy, AI chat, AI trade, AI watchlist add, heatmap, sell, P&L chart, SSE reconnect) - Page objects for header, watchlist, trade form, positions, chat, heatmap, P&L chart - Helpers: trade/chat actions, backend cross-checks, flash MutationObserver, and a severable TCP proxy for a real SSE connection drop - test/docker-compose.test.yml: production image (LLM_MOCK=true, fresh in-memory DB) + separate Playwright container; screenshots/traces/videos kept on failure - Frontend: add data-testid attributes for stable selectors (no behavior change) Co-Authored-By: Claude Sonnet 5 --- frontend/components/ChatPanel.tsx | 4 + frontend/components/Header.tsx | 29 ++- frontend/components/MainChart.tsx | 2 +- frontend/components/PnLChart.tsx | 2 +- frontend/components/PortfolioHeatmap.tsx | 4 +- frontend/components/PositionsTable.tsx | 3 +- frontend/components/Toasts.tsx | 1 + frontend/components/Watchlist.tsx | 3 +- test/.dockerignore | 4 + test/.gitignore | 3 + test/Dockerfile | 15 ++ test/README.md | 72 ++++++ test/docker-compose.test.yml | 51 +++++ test/e2e/helpers.ts | 172 ++++++++++++++ test/e2e/pages/ChatPage.ts | 29 +++ test/e2e/pages/HeaderPage.ts | 31 +++ test/e2e/pages/HeatmapPage.ts | 39 ++++ test/e2e/pages/PnLChartPage.ts | 15 ++ test/e2e/pages/PositionsPage.ts | 45 ++++ test/e2e/pages/TradeFormPage.ts | 24 ++ test/e2e/pages/WatchlistPage.ts | 43 ++++ test/e2e/test_full_workflow.spec.ts | 278 +++++++++++++++++++++++ test/package-lock.json | 93 ++++++++ test/package.json | 17 ++ test/playwright.config.ts | 39 ++++ test/tsconfig.json | 13 ++ 26 files changed, 1020 insertions(+), 11 deletions(-) create mode 100644 test/.dockerignore create mode 100644 test/.gitignore create mode 100644 test/Dockerfile create mode 100644 test/README.md create mode 100644 test/docker-compose.test.yml create mode 100644 test/e2e/helpers.ts create mode 100644 test/e2e/pages/ChatPage.ts create mode 100644 test/e2e/pages/HeaderPage.ts create mode 100644 test/e2e/pages/HeatmapPage.ts create mode 100644 test/e2e/pages/PnLChartPage.ts create mode 100644 test/e2e/pages/PositionsPage.ts create mode 100644 test/e2e/pages/TradeFormPage.ts create mode 100644 test/e2e/pages/WatchlistPage.ts create mode 100644 test/e2e/test_full_workflow.spec.ts create mode 100644 test/package-lock.json create mode 100644 test/package.json create mode 100644 test/playwright.config.ts create mode 100644 test/tsconfig.json diff --git a/frontend/components/ChatPanel.tsx b/frontend/components/ChatPanel.tsx index 2a875cecb..90b527409 100644 --- a/frontend/components/ChatPanel.tsx +++ b/frontend/components/ChatPanel.tsx @@ -112,6 +112,8 @@ function Message({ message: m }: { message: ChatMessage }) { return (
(
@@ -131,6 +134,7 @@ function Message({ message: m }: { message: ChatMessage }) { ))} {changes.map((c, i) => (
diff --git a/frontend/components/Header.tsx b/frontend/components/Header.tsx index fef4dff52..34774528c 100644 --- a/frontend/components/Header.tsx +++ b/frontend/components/Header.tsx @@ -32,17 +32,24 @@ export function Header({ portfolio, status, mock, chatOpen, onToggleChat }: Head
- + - +
-
+
{s.label}
@@ -58,11 +65,23 @@ export function Header({ portfolio, status, mock, chatOpen, onToggleChat }: Head ); } -function Stat({ label, value, big, className = "" }: { label: string; value: string; big?: boolean; className?: string }) { +function Stat({ + label, + value, + testId, + big, + className = "", +}: { + label: string; + value: string; + testId: string; + big?: boolean; + className?: string; +}) { return (
{label}
-
{value}
+
{value}
); } diff --git a/frontend/components/MainChart.tsx b/frontend/components/MainChart.tsx index faa187010..1c76b0485 100644 --- a/frontend/components/MainChart.tsx +++ b/frontend/components/MainChart.tsx @@ -67,7 +67,7 @@ export function MainChart({ ticker, points, openPrice }: MainChartProps) { } bodyClassName="relative" > -
+
{(!ticker || points.length < 2) && (
{ticker ? "Waiting for price data…" : "Select a ticker from the watchlist"} diff --git a/frontend/components/PnLChart.tsx b/frontend/components/PnLChart.tsx index e729e5e5f..0831016ce 100644 --- a/frontend/components/PnLChart.tsx +++ b/frontend/components/PnLChart.tsx @@ -59,7 +59,7 @@ export function PnLChart({ snapshots, loading, error, startingCash }: PnLChartPr right={{fmtSignedUsd(pnl)}} bodyClassName="relative" > -
+
{(loading || !snapshots?.length) && (
{loading ? "Loading history…" : error ?? "No history yet — snapshots are recorded every 30s"} diff --git a/frontend/components/PortfolioHeatmap.tsx b/frontend/components/PortfolioHeatmap.tsx index 81f2b893a..70199ab6d 100644 --- a/frontend/components/PortfolioHeatmap.tsx +++ b/frontend/components/PortfolioHeatmap.tsx @@ -33,7 +33,7 @@ interface CellProps { function HeatCell({ x = 0, y = 0, width = 0, height = 0, name, pnl = 0, depth }: CellProps) { if (depth === 0) return null; // the treemap's invisible root return ( - + {width > 46 && height > 34 && ( <> @@ -62,7 +62,7 @@ export function PortfolioHeatmap({ portfolio, loading }: { portfolio: Portfolio ) : !data.length ? ( No positions yet. Place a trade to see your portfolio here. ) : ( -
+
} /> diff --git a/frontend/components/PositionsTable.tsx b/frontend/components/PositionsTable.tsx index 692afcf32..c360716f2 100644 --- a/frontend/components/PositionsTable.tsx +++ b/frontend/components/PositionsTable.tsx @@ -28,7 +28,7 @@ export function PositionsTable({ portfolio, loading, error, selected, onSelect } ) : !positions.length ? ( No open positions. ) : ( - +
@@ -43,6 +43,7 @@ export function PositionsTable({ portfolio, loading, error, selected, onSelect } {positions.map((p) => ( onSelect(p.ticker)} className={`cursor-pointer border-b border-line/40 hover:bg-raised ${p.ticker === selected ? "bg-raised" : ""}`} > diff --git a/frontend/components/Toasts.tsx b/frontend/components/Toasts.tsx index fd0e905c1..30e64f3fe 100644 --- a/frontend/components/Toasts.tsx +++ b/frontend/components/Toasts.tsx @@ -13,6 +13,7 @@ export function Toasts({ toasts, onDismiss }: { toasts: Toast[]; onDismiss: (id: {toasts.map((t) => ( onSelect(entry.ticker)} className={`cursor-pointer border-b border-line/40 hover:bg-raised ${selected ? "bg-raised shadow-[inset_2px_0_0_#ecad0a]" : ""}`} > {/* Keyed span: the key changes on each flash so the 500ms animation restarts every tick. */} diff --git a/test/.dockerignore b/test/.dockerignore new file mode 100644 index 000000000..ae65c4f9c --- /dev/null +++ b/test/.dockerignore @@ -0,0 +1,4 @@ +node_modules +test-results +playwright-report +.env diff --git a/test/.gitignore b/test/.gitignore new file mode 100644 index 000000000..dbd64df83 --- /dev/null +++ b/test/.gitignore @@ -0,0 +1,3 @@ +node_modules/ +test-results/ +playwright-report/ diff --git a/test/Dockerfile b/test/Dockerfile new file mode 100644 index 000000000..25474500a --- /dev/null +++ b/test/Dockerfile @@ -0,0 +1,15 @@ +# Playwright test runner. Kept separate from the production image so browser dependencies never +# ship with the app (PLAN.md section 12). The image tag MUST match the @playwright/test version +# pinned in package.json, or Playwright cannot find its browsers. +FROM mcr.microsoft.com/playwright:v1.63.0-noble + +WORKDIR /work + +# Dependencies first so this layer is cached until the lockfile changes. +COPY package.json package-lock.json ./ +RUN npm ci --no-audit --no-fund + +COPY . . + +# BASE_URL is provided by docker-compose.test.yml (http://app:8000). +CMD ["npx", "playwright", "test"] diff --git a/test/README.md b/test/README.md new file mode 100644 index 000000000..5b0522a95 --- /dev/null +++ b/test/README.md @@ -0,0 +1,72 @@ +# FinAlly end-to-end tests + +Playwright tests that drive the real, containerised app in a browser. + +## Run + +From the project root (Docker must be running): + +```bash +docker compose -f test/docker-compose.test.yml up --build --abort-on-container-exit --exit-code-from playwright +docker compose -f test/docker-compose.test.yml down -v # clean up +``` + +The exit code is the test result (0 = all passed). The first run downloads the Playwright image +(about 2 GB) and builds the app; later runs take about a minute. + +What the stack does: + +| Service | Purpose | +|---|---| +| `webapp` | The **production** image, with `LLM_MOCK=true` (deterministic replies, no API key or network) and an empty in-memory database, so every run starts with $10,000 and the default watchlist | +| `playwright` | Chromium in its own container (browser dependencies stay out of the production image) | + +`webapp` is deliberately not called `app`: Chromium force-upgrades `http://app` to HTTPS because +`.app` is an HSTS-preloaded TLD. + +## When a test fails + +Artifacts for failing tests only are written to `test/test-results/` (full-page screenshot, +Playwright trace, video) and the HTML report to `test/playwright-report/`: + +```bash +cd test && npx playwright show-report # or open a trace: npx playwright show-trace +``` + +## Layout + +``` +test/ + e2e/ + test_full_workflow.spec.ts the 10-step workflow (serial; each step builds on the last) + helpers.ts parsing, placeTrade(), API cross-checks, flash recorder, severable proxy + pages/ page objects: Header, Watchlist, TradeForm, Positions, Chat, Heatmap, PnLChart + playwright.config.ts + docker-compose.test.yml + Dockerfile Playwright runner image +``` + +The workflow steps: fresh start, price streaming and flashes, manual buy, AI question, AI trade, +AI watchlist add, heatmap, sell, P&L chart, SSE reconnect. + +## Running against your own instance + +The suite needs a **fresh** database (step 1 checks for $10,000 and says so if not). Point it at a +running app with: + +```bash +cd test && npm ci && npx playwright install chromium +BASE_URL=http://localhost:8000 npx playwright test +``` + +Use an instance started with `LLM_MOCK=true`, because steps 4 to 6 rely on the mock replies. + +## Notes for maintainers + +- The Docker image tag in `Dockerfile` must match the `@playwright/test` version in `package.json`. +- The price-flash classes last only 500ms, so step 2 counts them with a `MutationObserver` instead + of polling for them. +- Step 10 cuts a real TCP connection through a small in-process proxy. Chromium's + `context.setOffline()` does **not** close an already-open EventSource, so it can't test reconnects. +- Heatmap colours depend on live P&L, which is usually near zero right after buying. Step 7 asserts + green/red only when the P&L is clearly positive/negative, and "muted neutral" otherwise. diff --git a/test/docker-compose.test.yml b/test/docker-compose.test.yml new file mode 100644 index 000000000..22bf7e218 --- /dev/null +++ b/test/docker-compose.test.yml @@ -0,0 +1,51 @@ +# E2E test stack: the real production image + a separate Playwright container (PLAN.md section 12). +# +# Run (from the project root): +# docker compose -f test/docker-compose.test.yml up --build --abort-on-container-exit --exit-code-from playwright +# Clean up afterwards: +# docker compose -f test/docker-compose.test.yml down -v +# +# The command's exit code is the test result. Screenshots, traces and videos of failures appear in +# test/test-results/, and the HTML report in test/playwright-report/. + +name: finally-e2e + +services: + # Not named "app": Chromium force-upgrades http://app to https (".app" is an HSTS-preloaded TLD). + webapp: + # Exactly the production Dockerfile ("same setup as production"). + build: + context: .. + dockerfile: Dockerfile + environment: + # Deterministic, free, instant LLM replies. Real API keys are deliberately NOT passed in, so + # the suite can never spend money or depend on the network. + LLM_MOCK: "true" + # A fresh, empty database on every start, so "$10,000 cash, default watchlist" always holds. + # uid/gid match the non-root user in the production image. + tmpfs: + - /app/db:uid=10001,gid=10001,mode=0755 + # Poll quickly so the tests start as soon as the app is up (the image default is every 30s). + healthcheck: + test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health', timeout=2)"] + interval: 2s + timeout: 3s + retries: 30 + start_period: 3s + + playwright: + build: + context: . + dockerfile: Dockerfile + depends_on: + webapp: + condition: service_healthy + environment: + BASE_URL: http://webapp:8000 + CI: "true" + # Recommended by Playwright for Chromium in Docker (avoids shared-memory crashes). + ipc: host + init: true + volumes: + - ./test-results:/work/test-results + - ./playwright-report:/work/playwright-report diff --git a/test/e2e/helpers.ts b/test/e2e/helpers.ts new file mode 100644 index 000000000..9b68cbf4d --- /dev/null +++ b/test/e2e/helpers.ts @@ -0,0 +1,172 @@ +import { expect, type APIRequestContext, type Page } from "@playwright/test"; +import net from "node:net"; +import type { TradeFormPage } from "./pages/TradeFormPage"; + +// --------------------------------------------------------------------------- parsing + +/** "$1,234.56" -> 1234.56, "-$5.00" -> -5, "+$12.34 (+0.12%)" -> 12.34 (first number only). */ +export function parseUsd(text: string): number { + const match = text.replace(/,/g, "").match(/-?\$?\s*-?\d+(?:\.\d+)?/); + if (!match) throw new Error(`No dollar amount in "${text}"`); + return Number(match[0].replace(/[$\s]/g, "")); +} + +// --------------------------------------------------------------------------- high-level actions + +export type Side = "buy" | "sell"; + +/** A trade that went through, as reported by the UI ("Bought 10 AAPL @ $190.02"). */ +export interface Fill { + ticker: string; + quantity: number; + price: number; +} + +const FILL_RE = /(?:Bought|Sold)\s+([\d.]+)\s+([A-Z.]+)\s+@\s+(\$[\d,.]+)/; + +function parseFill(text: string): Fill { + const m = text.match(FILL_RE); + if (!m) throw new Error(`Could not read a fill from "${text}"`); + return { quantity: Number(m[1]), ticker: m[2], price: parseUsd(m[3]) }; +} + +/** Place a manual market order through the trade form and return the reported fill. */ +export async function placeTrade( + page: Page, + form: TradeFormPage, + side: Side, + ticker: string, + quantity: number, +): Promise { + await form.submit(side, ticker, quantity); + const toast = page.getByTestId("toast").filter({ hasText: side === "buy" ? "Bought" : "Sold" }).last(); + await expect(toast).toBeVisible(); + return parseFill(await toast.innerText()); +} + +export { parseFill }; + +// --------------------------------------------------------------------------- backend access + +export interface ApiPortfolio { + cash_balance: number; + total_value: number; + positions: { ticker: string; quantity: number; avg_cost: number }[]; +} + +/** Read the backend directly (source of truth) to cross-check what the UI shows. */ +export async function getPortfolio(request: APIRequestContext): Promise { + const res = await request.get("/api/portfolio"); + expect(res.ok()).toBeTruthy(); + return res.json(); +} + +export async function getHistory(request: APIRequestContext): Promise<{ total_value: number; recorded_at: string }[]> { + const res = await request.get("/api/portfolio/history"); + expect(res.ok()).toBeTruthy(); + return res.json(); +} + +// --------------------------------------------------------------------------- price-flash recorder + +/** + * The flash classes (flash-up / flash-down) live for only 500ms, shorter than Playwright's polling + * interval, so asserting on them directly is flaky. Instead, install a MutationObserver that counts + * every time a watchlist price element receives one of the classes. + */ +export async function startFlashRecorder(page: Page): Promise { + await page.evaluate(() => { + const w = window as unknown as { __flashes?: { up: number; down: number } }; + if (w.__flashes) return; + w.__flashes = { up: 0, down: 0 }; + const count = (el: Element) => { + if (!el.matches('[data-testid^="watch-price-"]')) return; + if (el.classList.contains("flash-up")) w.__flashes!.up++; + if (el.classList.contains("flash-down")) w.__flashes!.down++; + }; + // The price span is re-keyed on every change, so a flash shows up as an added node + // (and the class being cleared later shows up as an attribute change). + new MutationObserver((mutations) => { + for (const m of mutations) { + if (m.type === "attributes" && m.target instanceof Element) count(m.target); + m.addedNodes.forEach((n) => n instanceof Element && count(n)); + } + }).observe(document.body, { subtree: true, childList: true, attributes: true, attributeFilter: ["class"] }); + }); +} + +export async function readFlashCounts(page: Page): Promise<{ up: number; down: number }> { + return page.evaluate(() => (window as unknown as { __flashes: { up: number; down: number } }).__flashes); +} + +// --------------------------------------------------------------------------- network drop simulation + +export interface SeverableProxy { + /** URL the browser should load instead of the real app. */ + url: string; + /** Kill every open connection and refuse new ones (like the server/network going away). */ + sever(): Promise; + /** Accept connections again. */ + restore(): Promise; + close(): Promise; +} + +/** + * A minimal TCP proxy in front of the app, which the test can cut and restore at will. + * + * Why not `context.setOffline(true)`? Chromium's offline emulation does not tear down an + * already-open EventSource, so the stream would silently keep flowing. Killing the sockets is a + * real connection drop, which is exactly what the browser's SSE reconnect logic must survive. + */ +export async function startSeverableProxy(target: URL): Promise { + const port = await pickFreePort(); + const sockets = new Set(); + let server: net.Server | null = null; + + const track = (s: net.Socket) => { + sockets.add(s); + s.on("close", () => sockets.delete(s)); + s.on("error", () => s.destroy()); + }; + + const listen = () => + new Promise((resolve, reject) => { + server = net.createServer((client) => { + const upstream = net.connect(Number(target.port || 80), target.hostname); + track(client); + track(upstream); + client.pipe(upstream); + upstream.pipe(client); + }); + server.once("error", reject); + server.listen(port, "127.0.0.1", () => resolve()); + }); + + const stop = async () => { + sockets.forEach((s) => s.destroy()); + const s = server; + server = null; + if (s) await new Promise((resolve) => s.close(() => resolve())); + }; + + await listen(); + return { + url: `http://127.0.0.1:${port}`, + sever: stop, + restore: async () => { + if (!server) await listen(); + }, + close: stop, + }; +} + +function pickFreePort(): Promise { + return new Promise((resolve, reject) => { + const s = net.createServer(); + s.once("error", reject); + s.listen(0, "127.0.0.1", () => { + const { port } = s.address() as net.AddressInfo; + s.close(() => resolve(port)); + }); + }); +} diff --git a/test/e2e/pages/ChatPage.ts b/test/e2e/pages/ChatPage.ts new file mode 100644 index 000000000..2af3c6cba --- /dev/null +++ b/test/e2e/pages/ChatPage.ts @@ -0,0 +1,29 @@ +import { expect, type Locator, type Page } from "@playwright/test"; + +/** Page object for the docked AI chat panel. */ +export class ChatPage { + readonly input: Locator; + readonly sendButton: Locator; + readonly assistantMessages: Locator; + readonly actions: Locator; + readonly thinking: Locator; + + constructor(page: Page) { + this.input = page.getByLabel("Chat message"); + this.sendButton = page.getByRole("button", { name: "Send", exact: true }); + this.assistantMessages = page.locator('[data-testid="chat-message"][data-role="assistant"]'); + // Inline confirmations for trades / watchlist changes the AI made. + this.actions = page.getByTestId("chat-action"); + this.thinking = page.getByRole("status", { name: "AI is thinking" }); + } + + /** Send a message and wait for the assistant's reply. Returns the reply text. */ + async send(text: string): Promise { + const before = await this.assistantMessages.count(); + await this.input.fill(text); + await this.sendButton.click(); + await expect(this.assistantMessages).toHaveCount(before + 1); + await expect(this.thinking).toBeHidden(); + return this.assistantMessages.last().innerText(); + } +} diff --git a/test/e2e/pages/HeaderPage.ts b/test/e2e/pages/HeaderPage.ts new file mode 100644 index 000000000..cece58a2f --- /dev/null +++ b/test/e2e/pages/HeaderPage.ts @@ -0,0 +1,31 @@ +import type { Locator, Page } from "@playwright/test"; +import { parseUsd } from "../helpers"; + +export type StreamStatus = "connected" | "reconnecting" | "disconnected"; + +/** Page object for the top bar: portfolio value, P&L, cash and the connection dot. */ +export class HeaderPage { + readonly totalValue: Locator; + readonly pnl: Locator; + readonly cashBalance: Locator; + readonly connection: Locator; + + constructor(private readonly page: Page) { + this.totalValue = page.getByTestId("header-total"); + this.pnl = page.getByTestId("header-pnl"); + this.cashBalance = page.getByTestId("header-cash"); + this.connection = page.getByTestId("connection-status"); + } + + async cash(): Promise { + return parseUsd(await this.cashBalance.innerText()); + } + + async total(): Promise { + return parseUsd(await this.totalValue.innerText()); + } + + async status(): Promise { + return (await this.connection.getAttribute("data-status")) as StreamStatus; + } +} diff --git a/test/e2e/pages/HeatmapPage.ts b/test/e2e/pages/HeatmapPage.ts new file mode 100644 index 000000000..5bd74f4f1 --- /dev/null +++ b/test/e2e/pages/HeatmapPage.ts @@ -0,0 +1,39 @@ +import type { Locator, Page } from "@playwright/test"; + +export interface HeatCell { + ticker: string; + area: number; // rendered rectangle area in px^2 (proportional to portfolio weight) + pnlPercent: number; // the P&L% the tile was coloured from + rgb: { r: number; g: number; b: number }; // the tile's fill colour +} + +/** Page object for the portfolio treemap (size = weight, colour = P&L). */ +export class HeatmapPage { + readonly container: Locator; + readonly cells: Locator; + + constructor(private readonly page: Page) { + this.container = page.getByTestId("heatmap"); + this.cells = page.locator('[data-testid^="heatmap-cell-"]'); + } + + cell(ticker: string): Locator { + return this.page.getByTestId(`heatmap-cell-${ticker}`); + } + + async read(ticker: string): Promise { + const cell = this.cell(ticker); + const rect = cell.locator("rect"); + const box = await rect.boundingBox(); + if (!box) throw new Error(`Heatmap cell ${ticker} has no bounding box`); + const fill = (await rect.getAttribute("fill")) ?? ""; + const m = fill.match(/rgb\((\d+),\s*(\d+),\s*(\d+)\)/); + if (!m) throw new Error(`Unexpected fill "${fill}" on heatmap cell ${ticker}`); + return { + ticker, + area: box.width * box.height, + pnlPercent: Number(await cell.getAttribute("data-pnl")), + rgb: { r: Number(m[1]), g: Number(m[2]), b: Number(m[3]) }, + }; + } +} diff --git a/test/e2e/pages/PnLChartPage.ts b/test/e2e/pages/PnLChartPage.ts new file mode 100644 index 000000000..49c801286 --- /dev/null +++ b/test/e2e/pages/PnLChartPage.ts @@ -0,0 +1,15 @@ +import type { Locator, Page } from "@playwright/test"; + +/** Page object for the portfolio-value line chart (a Lightweight Charts canvas). */ +export class PnLChartPage { + readonly container: Locator; + readonly canvas: Locator; + readonly emptyMessage: Locator; + + constructor(page: Page) { + this.container = page.getByTestId("pnl-chart"); + this.canvas = this.container.locator("canvas").first(); + // The overlay shown instead of a chart while there is no history to draw. + this.emptyMessage = page.getByText("No history yet"); + } +} diff --git a/test/e2e/pages/PositionsPage.ts b/test/e2e/pages/PositionsPage.ts new file mode 100644 index 000000000..4e1fab482 --- /dev/null +++ b/test/e2e/pages/PositionsPage.ts @@ -0,0 +1,45 @@ +import type { Locator, Page } from "@playwright/test"; +import { parseUsd } from "../helpers"; + +/** Column order of the positions table. */ +const COL = { ticker: 0, quantity: 1, avgCost: 2, price: 3, pnl: 4, changePct: 5 } as const; + +/** Page object for the positions table. */ +export class PositionsPage { + readonly table: Locator; + readonly rows: Locator; + + constructor(private readonly page: Page) { + this.table = page.getByTestId("positions-table"); + this.rows = page.locator('[data-testid^="position-row-"]'); + } + + row(ticker: string): Locator { + return this.page.getByTestId(`position-row-${ticker}`); + } + + private cell(ticker: string, col: number): Locator { + return this.row(ticker).locator("td").nth(col); + } + + async quantity(ticker: string): Promise { + return Number((await this.cell(ticker, COL.quantity).innerText()).replace(/,/g, "")); + } + + async avgCost(ticker: string): Promise { + return parseUsd(await this.cell(ticker, COL.avgCost).innerText()); + } + + async price(ticker: string): Promise { + return parseUsd(await this.cell(ticker, COL.price).innerText()); + } + + async pnlPercent(ticker: string): Promise { + return parseUsd((await this.cell(ticker, COL.changePct).innerText()).replace("%", "")); + } + + /** Market value = quantity x current price, as displayed. */ + async marketValue(ticker: string): Promise { + return (await this.quantity(ticker)) * (await this.price(ticker)); + } +} diff --git a/test/e2e/pages/TradeFormPage.ts b/test/e2e/pages/TradeFormPage.ts new file mode 100644 index 000000000..042d81530 --- /dev/null +++ b/test/e2e/pages/TradeFormPage.ts @@ -0,0 +1,24 @@ +import type { Locator, Page } from "@playwright/test"; + +/** Page object for the manual trade form (market orders only). */ +export class TradeFormPage { + readonly tickerInput: Locator; + readonly quantityInput: Locator; + readonly buyButton: Locator; + readonly sellButton: Locator; + + constructor(page: Page) { + this.tickerInput = page.getByLabel("Ticker", { exact: true }); + this.quantityInput = page.getByLabel("Quantity", { exact: true }); + // exact: the chat suggestion chips ("Buy 5 AAPL") must not match. + this.buyButton = page.getByRole("button", { name: "Buy", exact: true }); + this.sellButton = page.getByRole("button", { name: "Sell", exact: true }); + } + + /** Fill the form and press Buy or Sell. Resolves once the click is done, not when the trade settles. */ + async submit(side: "buy" | "sell", ticker: string, quantity: number): Promise { + await this.tickerInput.fill(ticker); + await this.quantityInput.fill(String(quantity)); + await (side === "buy" ? this.buyButton : this.sellButton).click(); + } +} diff --git a/test/e2e/pages/WatchlistPage.ts b/test/e2e/pages/WatchlistPage.ts new file mode 100644 index 000000000..a82b1ae92 --- /dev/null +++ b/test/e2e/pages/WatchlistPage.ts @@ -0,0 +1,43 @@ +import type { Locator, Page } from "@playwright/test"; +import { parseUsd } from "../helpers"; + +/** The ten tickers the database is seeded with (PLAN.md section 7). */ +export const DEFAULT_TICKERS = ["AAPL", "GOOGL", "MSFT", "AMZN", "TSLA", "NVDA", "META", "JPM", "V", "NFLX"]; + +/** Page object for the watchlist grid. */ +export class WatchlistPage { + readonly rows: Locator; + + constructor(private readonly page: Page) { + this.rows = page.locator('[data-testid^="watch-row-"]'); + } + + row(ticker: string): Locator { + return this.page.getByTestId(`watch-row-${ticker}`); + } + + priceCell(ticker: string): Locator { + return this.page.getByTestId(`watch-price-${ticker}`); + } + + sparkline(ticker: string): Locator { + return this.row(ticker).locator("svg path"); + } + + async tickers(): Promise { + const ids = await this.rows.evaluateAll((els) => els.map((e) => e.getAttribute("data-testid") ?? "")); + return ids.map((id) => id.replace("watch-row-", "")); + } + + async priceText(ticker: string): Promise { + return this.priceCell(ticker).innerText(); + } + + async price(ticker: string): Promise { + return parseUsd(await this.priceText(ticker)); + } + + async select(ticker: string): Promise { + await this.row(ticker).click(); + } +} diff --git a/test/e2e/test_full_workflow.spec.ts b/test/e2e/test_full_workflow.spec.ts new file mode 100644 index 000000000..e50ab3261 --- /dev/null +++ b/test/e2e/test_full_workflow.spec.ts @@ -0,0 +1,278 @@ +import { expect, test, type Page } from "@playwright/test"; +import { + getHistory, + getPortfolio, + parseFill, + placeTrade, + readFlashCounts, + startFlashRecorder, + startSeverableProxy, +} from "./helpers"; +import { ChatPage } from "./pages/ChatPage"; +import { HeaderPage } from "./pages/HeaderPage"; +import { HeatmapPage } from "./pages/HeatmapPage"; +import { PnLChartPage } from "./pages/PnLChartPage"; +import { PositionsPage } from "./pages/PositionsPage"; +import { TradeFormPage } from "./pages/TradeFormPage"; +import { DEFAULT_TICKERS, WatchlistPage } from "./pages/WatchlistPage"; + +/** + * The complete FinAlly workflow as one ordered story. Each step builds on the state left by the + * previous ones (cash spent, positions held), so the steps run serially against a fresh database + * with LLM_MOCK=true. Every test opens a new browser page; the state that carries over lives in + * the backend, exactly as it would for a real user reloading the app. + */ +test.describe.configure({ mode: "serial" }); + +test.describe("FinAlly full trading workflow", () => { + let header: HeaderPage; + let watchlist: WatchlistPage; + let form: TradeFormPage; + let positions: PositionsPage; + let chat: ChatPage; + let heatmap: HeatmapPage; + let pnlChart: PnLChartPage; + + /** Load the app and wait until it is fully live (SSE connected, portfolio fetched). */ + async function openApp(page: Page, url = "/") { + await page.goto(url); + await expect(page.getByTestId("connection-status")).toHaveAttribute("data-status", "connected"); + await expect(page.getByTestId("header-cash")).not.toHaveText("—"); + await expect(page.locator('[data-testid^="watch-row-"]').first()).toBeVisible(); + } + + test.beforeEach(async ({ page }) => { + header = new HeaderPage(page); + watchlist = new WatchlistPage(page); + form = new TradeFormPage(page); + positions = new PositionsPage(page); + chat = new ChatPage(page); + heatmap = new HeatmapPage(page); + pnlChart = new PnLChartPage(page); + }); + + // ------------------------------------------------------------------------------------------ + test("1. fresh start: page loads with $10,000 cash and the default watchlist", async ({ page, request }) => { + await openApp(page); + + await expect(page).toHaveTitle(/FinAlly/); + await expect(header.cashBalance).toHaveText("$10,000.00"); + await expect(header.totalValue).toHaveText("$10,000.00"); + + // All ten seeded tickers are listed, each with a live price. + expect((await watchlist.tickers()).sort()).toEqual([...DEFAULT_TICKERS].sort()); + for (const ticker of DEFAULT_TICKERS) { + await expect(watchlist.priceCell(ticker)).toHaveText(/^\$\d[\d,]*\.\d{2}$/); + } + + await expect(page.getByText("No open positions.")).toBeVisible(); + await expect(chat.input).toBeVisible(); + + // The backend agrees (and this proves the suite really started from a fresh database). + const portfolio = await getPortfolio(request); + expect(portfolio.cash_balance, "run the suite against a fresh database").toBe(10_000); + expect(portfolio.positions).toHaveLength(0); + }); + + // ------------------------------------------------------------------------------------------ + test("2. price streaming: prices update live and flash green / red on change", async ({ page }) => { + await openApp(page); + await startFlashRecorder(page); + + // Prices move without any user action. + const initial = await watchlist.priceText("AAPL"); + await expect.poll(() => watchlist.priceText("AAPL"), { timeout: 20_000 }).not.toBe(initial); + + // Sparklines and the main chart fill in from the stream. + await expect(watchlist.sparkline("AAPL")).toBeVisible({ timeout: 20_000 }); + await expect(page.getByTestId("main-chart").locator("canvas").first()).toBeVisible(); + + // Both an uptick flash (green) and a downtick flash (red) are observed. + await expect + .poll(async () => { + const { up, down } = await readFlashCounts(page); + return { up: up > 0, down: down > 0 }; + }, { timeout: 30_000, message: "expected to see both flash-up and flash-down" }) + .toEqual({ up: true, down: true }); + + // The flashes are green/red backgrounds that fade over 500ms (checked in the shipped CSS). + const css = await page.evaluate(() => { + const keyframeBackground = (name: string) => { + for (const sheet of Array.from(document.styleSheets)) { + for (const rule of Array.from(sheet.cssRules)) { + if (rule instanceof CSSKeyframesRule && rule.name === name) { + return (rule.cssRules[0] as CSSKeyframeRule).style.backgroundColor; + } + } + } + return null; + }; + const probe = document.createElement("span"); + probe.className = "flash-up"; + document.body.appendChild(probe); + const duration = getComputedStyle(probe).animationDuration; + probe.remove(); + return { up: keyframeBackground("flash-up"), down: keyframeBackground("flash-down"), duration }; + }); + expect(css.up).toContain("63, 185, 80"); // green #3fb950 + expect(css.down).toContain("248, 81, 73"); // red #f85149 + expect(css.duration).toBe("0.5s"); + }); + + // ------------------------------------------------------------------------------------------ + test("3. manual trade: buy 10 AAPL, cash decreases and the position appears", async ({ page, request }) => { + await openApp(page); + const cashBefore = await header.cash(); + + const fill = await placeTrade(page, form, "buy", "AAPL", 10); + expect(fill).toMatchObject({ ticker: "AAPL", quantity: 10 }); + + await expect(positions.row("AAPL")).toBeVisible(); + await expect.poll(() => positions.quantity("AAPL")).toBe(10); + expect(await positions.avgCost("AAPL")).toBeCloseTo(fill.price, 2); + + // Cash dropped by exactly quantity x fill price; total value is roughly unchanged. + await expect.poll(() => header.cash()).toBeCloseTo(cashBefore - 10 * fill.price, 2); + const total = await header.total(); + expect(total).toBeGreaterThan(9_900); + expect(total).toBeLessThan(10_100); + + const portfolio = await getPortfolio(request); + expect(portfolio.positions).toEqual([expect.objectContaining({ ticker: "AAPL", quantity: 10 })]); + }); + + // ------------------------------------------------------------------------------------------ + test("4. AI chat: asking 'How is my portfolio?' gets a response", async ({ page }) => { + await openApp(page); + + const reply = await chat.send("How is my portfolio?"); + + // LLM_MOCK=true makes the reply deterministic. + expect(reply).toContain("Mock mode"); + await expect(chat.actions).toHaveCount(0); // a question does not trade + await expect(chat.thinking).toBeHidden(); + }); + + // ------------------------------------------------------------------------------------------ + test("5. AI trade: 'Buy 5 GOOGL' executes and the position appears", async ({ page }) => { + await openApp(page); + const cashBefore = await header.cash(); + + await chat.send("Buy 5 GOOGL"); + + // The trade is confirmed inline in the chat... + const chip = chat.actions.filter({ hasText: "Bought 5 GOOGL" }); + await expect(chip).toBeVisible(); + const fill = parseFill(await chip.innerText()); + + // ...and reflected in the portfolio, without a page reload. + await expect(positions.row("GOOGL")).toBeVisible(); + await expect.poll(() => positions.quantity("GOOGL")).toBe(5); + await expect.poll(() => header.cash()).toBeCloseTo(cashBefore - 5 * fill.price, 2); + await expect(positions.row("AAPL")).toBeVisible(); // the earlier position is untouched + }); + + // ------------------------------------------------------------------------------------------ + test("6. watchlist: the AI adds PYPL and it appears in the grid", async ({ page }) => { + await openApp(page); + await expect(watchlist.row("PYPL")).toHaveCount(0); + + await chat.send("Add PYPL to my watchlist"); + + await expect(chat.actions.filter({ hasText: "Added PYPL to watchlist" })).toBeVisible(); + await expect(watchlist.row("PYPL")).toBeVisible(); + await expect(watchlist.priceCell("PYPL")).toHaveText(/^\$\d[\d,]*\.\d{2}$/); // and it is priced + expect(await watchlist.rows.count()).toBe(DEFAULT_TICKERS.length + 1); + }); + + // ------------------------------------------------------------------------------------------ + test("7. heatmap: tiles are sized by portfolio weight and coloured by P&L", async ({ page }) => { + await openApp(page); + + await expect(heatmap.cells).toHaveCount(2); // AAPL and GOOGL, nothing else + const aapl = await heatmap.read("AAPL"); + const googl = await heatmap.read("GOOGL"); + + // Area is proportional to market value (10 AAPL is worth about twice 5 GOOGL). + const valueRatio = (await positions.marketValue("AAPL")) / (await positions.marketValue("GOOGL")); + expect(aapl.area).toBeGreaterThan(googl.area); + expect(aapl.area / googl.area).toBeGreaterThan(valueRatio * 0.75); + expect(aapl.area / googl.area).toBeLessThan(valueRatio * 1.25); + + // Each tile is coloured from its position's P&L: green for profit, red for loss, and a + // muted neutral when the P&L is close to zero (fresh positions usually are). + for (const tile of [aapl, googl]) { + const { r, g, b } = tile.rgb; + if (tile.pnlPercent > 0.5) expect(g, `${tile.ticker} in profit`).toBeGreaterThan(r); + else if (tile.pnlPercent < -0.5) expect(r, `${tile.ticker} at a loss`).toBeGreaterThan(g); + else expect(Math.max(r, g, b), `${tile.ticker} near break-even`).toBeLessThan(110); + } + + // The tile's P&L is the same number the positions table shows (within a tick of movement). + expect(Math.abs(aapl.pnlPercent - (await positions.pnlPercent("AAPL")))).toBeLessThan(0.5); + }); + + // ------------------------------------------------------------------------------------------ + test("8. sell trade: sell 5 AAPL, position shrinks and cash increases", async ({ page }) => { + await openApp(page); + const cashBefore = await header.cash(); + + const fill = await placeTrade(page, form, "sell", "AAPL", 5); + expect(fill).toMatchObject({ ticker: "AAPL", quantity: 5 }); + + await expect.poll(() => positions.quantity("AAPL")).toBe(5); + await expect.poll(() => header.cash()).toBeCloseTo(cashBefore + 5 * fill.price, 2); + expect(await header.cash()).toBeGreaterThan(cashBefore); + expect(await positions.quantity("GOOGL")).toBe(5); // other positions untouched + }); + + // ------------------------------------------------------------------------------------------ + test("9. P&L chart: shows portfolio value over time", async ({ page, request }) => { + await openApp(page); + + // A snapshot is recorded at startup and after every trade (3 trades so far), oldest first. + const history = await getHistory(request); + expect(history.length).toBeGreaterThanOrEqual(4); + const times = history.map((h) => Date.parse(h.recorded_at)); + expect([...times].sort((a, b) => a - b)).toEqual(times); + + // The chart is drawn (a real canvas with size), not showing the "no history" placeholder. + await expect(pnlChart.canvas).toBeVisible(); + const box = await pnlChart.canvas.boundingBox(); + expect(box?.width).toBeGreaterThan(100); + expect(box?.height).toBeGreaterThan(50); + await expect(pnlChart.emptyMessage).toHaveCount(0); + + // The latest point is the current portfolio value (within a few ticks of price movement). + const latest = history[history.length - 1].total_value; + expect(Math.abs((await header.total()) - latest)).toBeLessThan(50); + }); + + // ------------------------------------------------------------------------------------------ + test("10. SSE resilience: after the connection drops, the stream reconnects and prices resume", async ({ page, baseURL }) => { + // Load the app through a proxy we can cut. (Chromium's offline mode would not close the + // already-open stream, so it would not be a real drop.) + const proxy = await startSeverableProxy(new URL(baseURL!)); + try { + await openApp(page, proxy.url); + await expect.poll(() => watchlist.priceText("MSFT")).toMatch(/^\$/); + + // --- Connection lost: the status dot leaves "connected" and prices stop moving. + await proxy.sever(); + await expect(header.connection).not.toHaveAttribute("data-status", "connected"); + await expect(header.connection).toHaveAttribute("data-status", /reconnecting|disconnected/); + const frozen = await watchlist.priceText("MSFT"); + await page.waitForTimeout(2_500); + expect(await watchlist.priceText("MSFT"), "no updates while the stream is down").toBe(frozen); + // The app keeps its last known data on screen instead of blanking out. + expect(frozen).toMatch(/^\$/); + + // --- Connection restored: EventSource retries by itself, the dot turns green, prices flow again. + await proxy.restore(); + await expect(header.connection).toHaveAttribute("data-status", "connected", { timeout: 20_000 }); + await expect.poll(() => watchlist.priceText("MSFT"), { timeout: 20_000 }).not.toBe(frozen); + } finally { + await proxy.close(); + } + }); +}); diff --git a/test/package-lock.json b/test/package-lock.json new file mode 100644 index 000000000..7ef2d39a2 --- /dev/null +++ b/test/package-lock.json @@ -0,0 +1,93 @@ +{ + "name": "finally-e2e", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "finally-e2e", + "version": "0.1.0", + "devDependencies": { + "@playwright/test": "1.63.0", + "@types/node": "^20.14.0", + "typescript": "^5.5.0" + } + }, + "node_modules/@playwright/test": { + "version": "1.63.0", + "resolved": "https://registry.npmjs.org/@playwright/test/-/test-1.63.0.tgz", + "integrity": "sha512-oxMK4vllB9RK5NQ2l1pq1IfOf2AvnEuj/vYGDj0H2nMtmtZpKtCwt/l00GEO6xjGfpBNAvjovvYdCm50dRQkpQ==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "playwright": "1.63.0" + }, + "bin": { + "playwright": "cli.js" + }, + "engines": { + "node": ">=20" + } + }, + "node_modules/@types/node": { + "version": "20.19.43", + "resolved": "https://registry.npmjs.org/@types/node/-/node-20.19.43.tgz", + "integrity": "sha512-6oYBAi5ikg4Pl+kGsoYtawUMBT2zZMCvPNF7pVLnHZfd1zf38DRiWn/gT01RYCdUqkv7Fhr+C9ot4/tb+2sVvA==", + "dev": true, + "license": "MIT", + "dependencies": { + "undici-types": "~6.21.0" + } + }, + "node_modules/playwright": { + "version": "1.63.0", + "resolved": "https://registry.npmjs.org/playwright/-/playwright-1.63.0.tgz", + "integrity": "sha512-+7ziBLidS4NaNCdt57SUDT+wYmmd5fmiQejUic/kb+YsYSCPyOOE9sebzMjNmQrsnNpDJqd4WHvV/8lfKfUDUg==", + "dev": true, + "license": "Apache-2.0", + "dependencies": { + "playwright-core": "1.63.0" + }, + "bin": { + "playwright": "cli.js" + }, + "engines": { + "node": ">=20" + } + }, + "node_modules/playwright-core": { + "version": "1.63.0", + "resolved": "https://registry.npmjs.org/playwright-core/-/playwright-core-1.63.0.tgz", + "integrity": "sha512-rYCsBF/M5HjUch52bbtVONEFjv6Xu8sm8h72dNlR5bzIE1fvC/bxgspzkjSfU+MweEMmPM8KJebG6nnyxo5mCg==", + "dev": true, + "license": "Apache-2.0", + "bin": { + "playwright-core": "cli.js" + }, + "engines": { + "node": ">=20" + } + }, + "node_modules/typescript": { + "version": "5.9.3", + "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.9.3.tgz", + "integrity": "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==", + "dev": true, + "license": "Apache-2.0", + "bin": { + "tsc": "bin/tsc", + "tsserver": "bin/tsserver" + }, + "engines": { + "node": ">=14.17" + } + }, + "node_modules/undici-types": { + "version": "6.21.0", + "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz", + "integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==", + "dev": true, + "license": "MIT" + } + } +} diff --git a/test/package.json b/test/package.json new file mode 100644 index 000000000..bcfb68927 --- /dev/null +++ b/test/package.json @@ -0,0 +1,17 @@ +{ + "name": "finally-e2e", + "version": "0.1.0", + "private": true, + "description": "Playwright end-to-end tests for FinAlly", + "scripts": { + "test": "playwright test", + "test:headed": "playwright test --headed", + "report": "playwright show-report", + "typecheck": "tsc --noEmit" + }, + "devDependencies": { + "@playwright/test": "1.63.0", + "@types/node": "^20.14.0", + "typescript": "^5.5.0" + } +} diff --git a/test/playwright.config.ts b/test/playwright.config.ts new file mode 100644 index 000000000..32c5d7e8c --- /dev/null +++ b/test/playwright.config.ts @@ -0,0 +1,39 @@ +import { defineConfig, devices } from "@playwright/test"; + +/** + * FinAlly E2E configuration. + * + * BASE_URL points at the running app: http://app:8000 inside docker-compose.test.yml, or + * http://localhost:8000 when you run the suite from your own machine against a running container. + * + * The workflow spec is one ordered story that builds on the state left by earlier steps + * (cash spent, positions bought), so it runs serially in a single worker against a FRESH database. + */ +export default defineConfig({ + testDir: "./e2e", + fullyParallel: false, + workers: 1, + retries: 0, + timeout: 60_000, + expect: { timeout: 10_000 }, + + // Artifacts land in ./test-results (screenshots, traces, videos) and ./playwright-report. + outputDir: "test-results", + reporter: [["list"], ["html", { outputFolder: "playwright-report", open: "never" }]], + + use: { + baseURL: process.env.BASE_URL ?? "http://localhost:8000", + // A full-page screenshot, a trace and a video are kept for every failing test. + screenshot: { mode: "only-on-failure", fullPage: true }, + trace: "retain-on-failure", + video: "retain-on-failure", + }, + + projects: [ + { + name: "chromium", + // Wide enough for the desktop layout (chat panel docked beside the dashboard). + use: { ...devices["Desktop Chrome"], viewport: { width: 1600, height: 1000 } }, + }, + ], +}); diff --git a/test/tsconfig.json b/test/tsconfig.json new file mode 100644 index 000000000..443249341 --- /dev/null +++ b/test/tsconfig.json @@ -0,0 +1,13 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "commonjs", + "moduleResolution": "node", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "noEmit": true, + "types": ["node"] + }, + "include": ["e2e/**/*.ts", "playwright.config.ts"] +} From 14a41852d3dd82e797351acf60062a648670a8a5 Mon Sep 17 00:00:00 2001 From: Paul Orlando Date: Sun, 20 Sep 2026 11:28:38 -0400 Subject: [PATCH 6/6] feat: Add rate limiting and cost protection - Layer 1 (Code): Rate limit chat (15/hr) and trades (20/hr) per IP - Layer 2 (Provider): Documented OpenRouter spend cap (set manually in the web UI) - In-memory sliding-window limiter with Railway proxy support - Returns 429 with retry-after on limit exceeded - Updated RAILWAY.md with protection documentation - All 91 tests passing, locally verified 429 responses Co-Authored-By: Claude Sonnet 5 --- .dockerignore | 2 + Dockerfile | 12 +++- backend/app/main.py | 4 ++ backend/app/ratelimit.py | 85 +++++++++++++++++++++++++++++ backend/tests/api/test_ratelimit.py | 52 ++++++++++++++++++ deploy/RAILWAY.md | 83 ++++++++++++++++++++++++++++ railway.toml | 18 ++++++ 7 files changed, 253 insertions(+), 3 deletions(-) create mode 100644 backend/app/ratelimit.py create mode 100644 backend/tests/api/test_ratelimit.py create mode 100644 deploy/RAILWAY.md create mode 100644 railway.toml diff --git a/.dockerignore b/.dockerignore index 2cec109fc..8ed42e17e 100644 --- a/.dockerignore +++ b/.dockerignore @@ -40,3 +40,5 @@ scripts !backend/README.md Dockerfile docker-compose*.yml +railway.toml +deploy diff --git a/Dockerfile b/Dockerfile index 0381a50f3..e75d20aef 100644 --- a/Dockerfile +++ b/Dockerfile @@ -4,6 +4,7 @@ # # Build: docker build -t finally . # Run: docker run -v finally-data:/app/db -p 8000:8000 --env-file .env finally +# Railway: see deploy/RAILWAY.md (the app listens on Railway's $PORT automatically). # --------------------------------------------------------------------------- # Stage 1: build the frontend (static export) @@ -62,10 +63,15 @@ RUN useradd --create-home --uid 10001 finally \ && chown -R finally:finally /app/db USER finally -VOLUME /app/db +# No VOLUME instruction: Railway rejects Dockerfiles that contain one. It is not needed here, +# because docker run / compose mount a named volume at /app/db explicitly, and Docker copies this +# directory's ownership into a fresh named volume. On Railway, attach a Railway volume at /app/db. EXPOSE 8000 +# Listen on $PORT when the platform provides it (Railway injects one at runtime and ignores +# EXPOSE); default to 8000 for docker run / compose. The health check follows the same port. HEALTHCHECK --interval=30s --timeout=5s --start-period=15s --retries=3 \ - CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health', timeout=3)" + CMD python -c "import os, urllib.request; urllib.request.urlopen('http://localhost:%s/api/health' % os.environ.get('PORT', '8000'), timeout=3)" -CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"] +# Shell form (via sh -c) so ${PORT:-8000} is expanded; exec makes uvicorn PID 1 for clean shutdown. +CMD ["sh", "-c", "exec uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-8000}"] diff --git a/backend/app/main.py b/backend/app/main.py index 3bed5838d..3a3793ab5 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -41,6 +41,7 @@ ) from .db import PROJECT_ROOT, Database from .market import MarketDataSource, PriceCache, create_market_data_source, create_stream_router +from .ratelimit import build_limiter, install_rate_limit logger = logging.getLogger(__name__) @@ -130,6 +131,9 @@ async def lifespan(app: FastAPI): app = FastAPI(title="FinAlly", version="0.1.0", lifespan=lifespan) + # Per-IP limits on POST /api/chat and the trade endpoints (env-configurable, in-memory). + install_rate_limit(app, build_limiter()) + # Tag each request with a fresh correlation id so all agent_logs rows for it can be joined. @app.middleware("http") async def correlation_middleware(request: Request, call_next): diff --git a/backend/app/ratelimit.py b/backend/app/ratelimit.py new file mode 100644 index 000000000..abd833708 --- /dev/null +++ b/backend/app/ratelimit.py @@ -0,0 +1,85 @@ +"""In-memory per-IP rate limiting for the expensive/mutating endpoints (sliding window).""" + +from __future__ import annotations + +import math +import os +import time +from collections import defaultdict, deque + +from fastapi import Request +from fastapi.responses import JSONResponse + +WINDOW_SECONDS = 3600.0 +DEFAULT_CHAT_PER_HOUR = 15 +DEFAULT_TRADES_PER_HOUR = 20 + + +def _env_int(name: str, default: int) -> int: + try: + return int(os.environ.get(name, "") or default) + except ValueError: + return default + + +def client_ip(request: Request) -> str: + # Behind a proxy (Railway) the peer is the proxy itself. The proxy appends the address it saw + # to X-Forwarded-For, so the last entry is trustworthy; earlier ones can be client-supplied. + forwarded = request.headers.get("x-forwarded-for") + if forwarded: + return forwarded.split(",")[-1].strip() + return request.client.host if request.client else "unknown" + + +class RateLimiter: + """Sliding-window limiter keyed by (bucket, ip). State is per process (single replica).""" + + def __init__(self, rules: dict[str, tuple[frozenset[str], int]], window: float = WINDOW_SECONDS): + # rules: bucket name -> (paths, max requests per window) + self.window = window + self._path_to_bucket = {p: b for b, (paths, _) in rules.items() for p in paths} + self._limits = {b: limit for b, (_, limit) in rules.items()} + self._hits: dict[tuple[str, str], deque[float]] = defaultdict(deque) + + def check(self, path: str, ip: str, now: float | None = None) -> int | None: + """Record a hit. Returns None if allowed, else seconds until the next slot frees up.""" + bucket = self._path_to_bucket.get(path) + if bucket is None: + return None + now = time.monotonic() if now is None else now + hits = self._hits[(bucket, ip)] + while hits and now - hits[0] >= self.window: + hits.popleft() + if len(hits) >= self._limits[bucket]: + return max(1, math.ceil(self.window - (now - hits[0]))) + hits.append(now) + return None + + +def build_limiter() -> RateLimiter: + chat = _env_int("RATE_LIMIT_CHAT_PER_HOUR", DEFAULT_CHAT_PER_HOUR) + trades = _env_int("RATE_LIMIT_TRADES_PER_HOUR", DEFAULT_TRADES_PER_HOUR) + return RateLimiter( + { + "chat": (frozenset({"/api/chat"}), chat), + # Both public paths of the same trade handler share one budget. + "trade": (frozenset({"/api/trade", "/api/portfolio/trade"}), trades), + } + ) + + +def install_rate_limit(app, limiter: RateLimiter) -> None: + @app.middleware("http") + async def rate_limit_middleware(request: Request, call_next): + if request.method == "POST": + retry_after = limiter.check(request.url.path, client_ip(request)) + if retry_after is not None: + return JSONResponse( + status_code=429, + content={ + "error": f"Rate limit exceeded. Try again in {retry_after} seconds.", + "retry_after": retry_after, + }, + headers={"Retry-After": str(retry_after)}, + ) + return await call_next(request) diff --git a/backend/tests/api/test_ratelimit.py b/backend/tests/api/test_ratelimit.py new file mode 100644 index 000000000..f64b0564e --- /dev/null +++ b/backend/tests/api/test_ratelimit.py @@ -0,0 +1,52 @@ +"""Rate limiting: 429 + Retry-After once the per-IP hourly budget is spent.""" + +import pytest +from fastapi.testclient import TestClient + +from app.main import create_app +from app.ratelimit import RateLimiter + + +@pytest.fixture +def client(monkeypatch): + monkeypatch.setenv("LLM_MOCK", "true") + monkeypatch.setenv("RATE_LIMIT_CHAT_PER_HOUR", "3") + monkeypatch.setenv("RATE_LIMIT_TRADES_PER_HOUR", "2") + with TestClient(create_app(":memory:", snapshot_interval=3600)) as c: + yield c + + +def test_chat_limited_after_budget(client): + for _ in range(3): + assert client.post("/api/chat", json={"message": "hi"}).status_code == 200 + r = client.post("/api/chat", json={"message": "hi"}) + assert r.status_code == 429 + assert int(r.headers["retry-after"]) > 0 + assert r.json()["retry_after"] == int(r.headers["retry-after"]) + + +def test_trade_limit_shared_across_paths_and_counts_failures(client): + body = {"ticker": "AAPL", "quantity": 1, "side": "buy"} + assert client.post("/api/trade", json=body).status_code == 200 + assert client.post("/api/portfolio/trade", json=body).status_code == 200 + r = client.post("/api/trade", json=body) + assert r.status_code == 429 + assert "retry-after" in r.headers + + +def test_limits_are_per_ip_and_reads_unaffected(client): + for _ in range(3): + client.post("/api/chat", json={"message": "hi"}) + assert client.post("/api/chat", json={"message": "hi"}).status_code == 429 + other = client.post( + "/api/chat", json={"message": "hi"}, headers={"X-Forwarded-For": "203.0.113.9"} + ) + assert other.status_code == 200 + assert client.get("/api/portfolio").status_code == 200 + + +def test_window_slides(): + lim = RateLimiter({"b": (frozenset({"/x"}), 1)}, window=10) + assert lim.check("/x", "ip", now=0) is None + assert lim.check("/x", "ip", now=5) == 5 + assert lim.check("/x", "ip", now=10) is None diff --git a/deploy/RAILWAY.md b/deploy/RAILWAY.md new file mode 100644 index 000000000..529c96f8c --- /dev/null +++ b/deploy/RAILWAY.md @@ -0,0 +1,83 @@ +# Deploying FinAlly to Railway + +Railway builds the repo's `Dockerfile` (configured by `railway.toml`) and gives you a public +`https://.up.railway.app` link. Setup takes about 10 minutes and needs a Railway account. + +## What the repo already handles + +| Railway requirement | How FinAlly meets it | +|---|---| +| App must listen on the injected `$PORT` | The `Dockerfile` CMD binds `0.0.0.0:${PORT:-8000}` | +| No `VOLUME` instruction in Dockerfiles | Removed; local Docker still uses named volumes | +| Health check before routing traffic | `railway.toml` sets `healthcheckPath = "/api/health"` | +| Builder | `railway.toml` selects the Dockerfile builder | + +## Steps + +1. **Get the code on GitHub.** Railway deploys from your repo + (`Paul-Orlando/multi_agent_trading_app`). Merge the feature branch into `main`, or pick the + branch under the service's *Settings, Source*. +2. **Create the project.** On railway.com: *New Project, Deploy from GitHub repo*, choose the repo. + Railway finds `railway.toml` and starts the first build (a few minutes). +3. **Add variables** (service *Variables* tab): + + | Variable | Value | Why | + |---|---|---| + | `OPENROUTER_API_KEY` | your `sk-or-...` key | AI chat | + | `RAILWAY_RUN_UID` | `0` | **Required.** The image runs as a non-root user, and Railway volumes are root-owned; without this the database cannot be written ([docs](https://docs.railway.com/reference/volumes)) | + | `RATE_LIMIT_CHAT_PER_HOUR` | `15` (default) | optional; max `POST /api/chat` per IP per hour | + | `RATE_LIMIT_TRADES_PER_HOUR` | `20` (default) | optional; max trades per IP per hour | + | `LLM_MOCK` | `false` (or `true` to run without the model) | optional | + | `MASSIVE_API_KEY` | optional | real market data instead of the simulator | + + Do **not** set `PORT`; Railway injects it. +4. **Attach a volume for the database.** Service, *Settings, Volumes* (or the command palette, + Ctrl/Cmd+K, then "Volume"), *Add volume*, mount path **`/app/db`**. Without it the database is + wiped on every deploy and restart. +5. **Generate the public link.** Service, *Settings, Networking, Public Networking, Generate + Domain*. If asked for a port, use the one Railway shows (it is `$PORT`). +6. **Check it.** Open `https:///api/health` (expect `{"status":"ok"}`), then the + root URL for the app. + +Changing a variable or attaching the volume triggers a redeploy; watch *Deployments, View logs*. + +## Read this before sharing the link + +- **There is no login.** Anyone with the URL can trade in your portfolio and use the AI chat, + which **spends your OpenRouter credits**. Keep the link private, use the two protection layers + below, or set `LLM_MOCK=true`. Basic-auth protection is a small addition if you want it. +- **Chat model:** `openai/gpt-oss-120b` through OpenRouter, pinned to the Cerebras provider. + +## Abuse protection: two layers + +1. **Layer 1, code (per IP, in memory).** The app answers `429 Too Many Requests` with a + `Retry-After` header once an IP exceeds: + - **15** `POST /api/chat` requests per hour (`RATE_LIMIT_CHAT_PER_HOUR`) + - **20** trades per hour (`RATE_LIMIT_TRADES_PER_HOUR`), shared by `/api/trade` and + `/api/portfolio/trade` + + Counters live in process memory: they reset on redeploy or restart, and they assume the single + replica above. The IP is the last `X-Forwarded-For` entry (the one Railway's proxy added). +2. **Layer 2, provider (hard spend cap).** Code limits can be bypassed or misconfigured, so also + cap the money itself. In the OpenRouter web UI: *Settings, Keys* (openrouter.ai/settings/keys), + open the key used as `OPENROUTER_API_KEY`, set a **Credit limit**, and save. Use a dedicated key + for this deployment. Once the limit is reached OpenRouter rejects requests, so chat fails + ("AuthenticationError"/402-style errors) instead of running up a bill. Keep the account's + credit balance small as well. + +Layer 1 stops casual abuse and keeps normal use smooth; layer 2 bounds the worst case. +- **Run exactly one replica.** The database is a single SQLite file and prices come from an + in-process simulator, so scaling out would give each copy its own state. +- **Simulated prices** are the default (no Massive key). Trading uses virtual money. +- Live prices use Server-Sent Events over one long-lived connection. That is expected to work + through Railway's proxy, but confirm after the first deploy: the header dot should turn green. + +## Troubleshooting + +| Symptom | Likely cause | +|---|---| +| "Application failed to respond" / 502 | The app is not on `$PORT`, or the health check failed; read the deploy logs | +| Deploy fails with a `VOLUME` error | A `VOLUME` line crept back into the Dockerfile; remove it | +| Logs show `unable to open database file` / permission denied | `RAILWAY_RUN_UID=0` is missing, or the volume is not mounted at `/app/db` | +| Chat replies "AuthenticationError" | `OPENROUTER_API_KEY` is missing or invalid in Railway variables | +| Data resets after every deploy | The volume is not attached, or is mounted at a different path | diff --git a/railway.toml b/railway.toml new file mode 100644 index 000000000..bd6d34dac --- /dev/null +++ b/railway.toml @@ -0,0 +1,18 @@ +# Railway "config as code" for FinAlly. Railway picks this file up from the repo root. +# Docs: https://docs.railway.com/reference/config-as-code +# +# Things this file cannot set (do them in the Railway dashboard, see deploy/RAILWAY.md): +# - the persistent Volume mounted at /app/db +# - environment variables (OPENROUTER_API_KEY, RAILWAY_RUN_UID, ...) +# - the public domain + +[build] +builder = "DOCKERFILE" +dockerfilePath = "Dockerfile" + +[deploy] +# Railway marks a deploy healthy once this returns 200, then routes traffic to it. +healthcheckPath = "/api/health" +healthcheckTimeout = 60 +restartPolicyType = "ON_FAILURE" +restartPolicyMaxRetries = 5
Ticker
{entry.ticker} - + {fmtUsd(price)}